This document provides instructions for building a well model using the PROSPER software. It discusses preparing input data by organizing it in an Excel file with separate sheets for completion, test, and PVT/IPR data. It also covers setting up the model type and fluid properties in PROSPER. PVT data from lab tests should be entered on the PVT input screen and used to calculate fluid properties under changing pressure and temperature conditions through correlation, matching, or direct entry of PVT tables. The overall objective is to accurately simulate well performance and predict production levels.
Nodal Analysis introduction to inflow and outflow performance - nextgusgon
This document discusses nodal analysis concepts for analyzing inflow and outflow performance in fluid systems. It introduces key terms like nodal analysis, inflow, outflow, upstream and downstream components, and graphical solutions. It provides an example problem calculating system capacity and the impact of changing pipe diameters. It also covers topics like single-phase and multiphase fluid flow, flow regimes, flow patterns, and calculating pressure drops and flow performance in pipes.
Drill stem test (DST) is one of the most famous on-site well testing that is used to unveil critical reservoir and fluid properties such as reservoir pressure, average permeability, skin factor and well potential productivity index. It is relatively cheap on-site test that is done prior to well completion. Upon the DST results, usually, the decision of the well completion is taken.
This document provides an overview of reservoir engineering concepts for predicting vertical oil well performance, including productivity index, inflow performance relationship, and methods for modeling these relationships. It discusses key topics like:
- Defining and measuring productivity index using stabilized well test data
- How productivity index, inflow performance relationship, and well flow rates relate under pseudosteady state conditions
- Factors influencing productivity index like fluid properties and relative permeability
- Empirical methods like Vogel's method for generating inflow performance curves over the life of depleting reservoirs
The document is from a course on reservoir engineering concepts for vertical wells, with the goal of teaching practical equations to model well performance and factors governing fluid flow.
1) El documento describe el balance de materia y su aplicación para modelar yacimientos de petróleo. 2) La ecuación de balance de materia iguala el volumen original de hidrocarburos en el yacimiento con los volúmenes producidos y los cambios en el volumen debido a la expansión de fluidos. 3) El balance de materia se usa para estimar parámetros del yacimiento como el petróleo y gas originales en situ y predecir el comportamiento futuro.
This document discusses laboratory experiments for analyzing reservoir fluid properties, including differential liberation (vaporization) tests and separator tests. Differential liberation tests measure properties such as gas and oil volumes, densities, and compositions as pressure is reduced, better simulating reservoir separation. Separator tests determine volumetric behavior as fluids pass through surface separation, providing data to optimize conditions and calculate petroleum engineering parameters. The document explains procedures, calculations, and objectives of the tests.
The document discusses well deliverability and pressure drop in oil and gas wells. It explains that pressure drop is affected by properties of the reservoir fluids, production rates, and the mechanical configuration of the wellbore. Pressure loss is highest in the tubing and can be estimated using charts, correlations, or equations that consider fluid properties, flow rates, and well geometry. Matching inflow and outflow pressures gives the stabilized flow rate. The document compares methods for estimating pressure drop in single-phase and multiphase flow.
Production decline analysis is a traditional means of identifying well production problems and predicting well performance and life based on real production data. It uses empirical decline models that have little fundamental justifications. These models include
•
Exponential decline (constant fractional decline)
•
Harmonic decline, and
•
Hyperbolic decline.
Nodal Analysis introduction to inflow and outflow performance - nextgusgon
This document discusses nodal analysis concepts for analyzing inflow and outflow performance in fluid systems. It introduces key terms like nodal analysis, inflow, outflow, upstream and downstream components, and graphical solutions. It provides an example problem calculating system capacity and the impact of changing pipe diameters. It also covers topics like single-phase and multiphase fluid flow, flow regimes, flow patterns, and calculating pressure drops and flow performance in pipes.
Drill stem test (DST) is one of the most famous on-site well testing that is used to unveil critical reservoir and fluid properties such as reservoir pressure, average permeability, skin factor and well potential productivity index. It is relatively cheap on-site test that is done prior to well completion. Upon the DST results, usually, the decision of the well completion is taken.
This document provides an overview of reservoir engineering concepts for predicting vertical oil well performance, including productivity index, inflow performance relationship, and methods for modeling these relationships. It discusses key topics like:
- Defining and measuring productivity index using stabilized well test data
- How productivity index, inflow performance relationship, and well flow rates relate under pseudosteady state conditions
- Factors influencing productivity index like fluid properties and relative permeability
- Empirical methods like Vogel's method for generating inflow performance curves over the life of depleting reservoirs
The document is from a course on reservoir engineering concepts for vertical wells, with the goal of teaching practical equations to model well performance and factors governing fluid flow.
1) El documento describe el balance de materia y su aplicación para modelar yacimientos de petróleo. 2) La ecuación de balance de materia iguala el volumen original de hidrocarburos en el yacimiento con los volúmenes producidos y los cambios en el volumen debido a la expansión de fluidos. 3) El balance de materia se usa para estimar parámetros del yacimiento como el petróleo y gas originales en situ y predecir el comportamiento futuro.
This document discusses laboratory experiments for analyzing reservoir fluid properties, including differential liberation (vaporization) tests and separator tests. Differential liberation tests measure properties such as gas and oil volumes, densities, and compositions as pressure is reduced, better simulating reservoir separation. Separator tests determine volumetric behavior as fluids pass through surface separation, providing data to optimize conditions and calculate petroleum engineering parameters. The document explains procedures, calculations, and objectives of the tests.
The document discusses well deliverability and pressure drop in oil and gas wells. It explains that pressure drop is affected by properties of the reservoir fluids, production rates, and the mechanical configuration of the wellbore. Pressure loss is highest in the tubing and can be estimated using charts, correlations, or equations that consider fluid properties, flow rates, and well geometry. Matching inflow and outflow pressures gives the stabilized flow rate. The document compares methods for estimating pressure drop in single-phase and multiphase flow.
Production decline analysis is a traditional means of identifying well production problems and predicting well performance and life based on real production data. It uses empirical decline models that have little fundamental justifications. These models include
•
Exponential decline (constant fractional decline)
•
Harmonic decline, and
•
Hyperbolic decline.
This document was produced as part of my final year project of training to obtain a petroleum engineering diploma.
The aim of this project is to make a comparative study between continuous and intermittent gas lift systems based on real data from an oil well in Algeria, and to choose the system best suited to increase the production of the well.
This study was carried out by a manual design using the method of “fixed pressure drop” for the continuous gas lift system and “fallback gradient” method for intermittent gas lift system.
We were able to determine at the end of this study that the system best suited to the current conditions of our well would be the intermittent gas lift system and we also proposed that it should be combine with the "plunger lift " system in order to increase the efficiency of the intermittent gas lift system by eliminating problems linked to the phenomenon of" fallback " thus increase the production of our wells.
The document discusses oil recovery methods including primary, secondary, and tertiary (enhanced oil recovery) techniques. Primary recovery uses natural reservoir pressures to produce 10-25% of oil initially in place. Secondary recovery maintains pressure through water or gas flooding to produce additional oil. Tertiary/enhanced oil recovery (EOR) uses sophisticated thermal or non-thermal methods like gas injection to extract more oil, becoming more important as oil prices rise. The document focuses on different driving mechanisms in primary recovery and introduces EOR methods.
1) Los sistemas de levantamiento artificial incluyen levantamiento por gas (gas-lift) y bombeo, siendo los métodos gas-lift continuo e intermitente descritos. 2) El gas-lift continuo inyecta gas de forma continua para reducir la presión y producir, mientras que el intermitente inyecta grandes volúmenes cíclicamente. 3) La eficiencia del gas-lift continuo depende de factores como la profundidad de inyección y la relación gas-líquido.
Este documento describe diferentes sistemas de levantamiento artificial, incluyendo gas-lift y bombeo. Explica el levantamiento artificial por gas continuo e intermitente, y cómo optimizar la eficiencia mediante el seguimiento de la relación gas-líquido. También cubre el análisis de curvas de oferta y demanda para sistemas de bombeo y el monitoreo del nivel dinámico del fluido.
The document discusses drill stem testing (DST), which is used to evaluate reservoir properties. It describes the key components of a DST tool, including pressure recorders, test valves, packers, and more. It also outlines the steps to design a DST plan, considering factors like the test interval, packer selection and location, choke selection, and more. Finally, it explains how to execute a DST, interpreting the pressure chart by describing the initial flow, initial shut-in, final flow, and final shut-in periods marked on a sample chart.
Horizontal Well Performance Optimization AnalysisMahmood Ghazi
The document discusses optimization of production from horizontal wells using nodal analysis and the PROSPER software. It outlines factors that affect pressure losses in horizontal and inclined well sections and describes how nodal analysis can be used to model well deliverability and optimize parameters like well length. Results from PROSPER simulations show how inlet pressure, pressure drop, and flowrate increase with longer well lengths up to an optimal value. The document concludes horizontal wells can be optimized for production using nodal analysis and PROSPER to evaluate factors affecting pressure losses and choose well parameters.
This document discusses key properties of crude oil, including:
1) Oil is classified based on properties like specific gravity, viscosity, density, etc. with specific gravity and viscosity most commonly used. Specific gravity is represented by API gravity which ranges from 8 to 58 degrees.
2) Bubble point pressure is the pressure at which a small amount of gas is in equilibrium with oil. When pressure drops below this point, gas is liberated from the oil.
3) Other properties discussed include formation volume factor (ratio of reservoir to surface volumes), solution gas-oil ratio (amount of gas dissolved in oil), and compressibility (change in volume with pressure change).
Bullheading is a common non-circulating method for killing live wells prior to workovers. It involves pumping kill fluid into the tubing to displace produced fluids back into the formation. A bullheading schedule is generated using formation pressure, desired overbalance, fracture pressure, tubing specifications, and pump data to safely control pumping pressures within the initial and final maximum pressures. The schedule provides checkpoints to monitor pumping pressure and volume throughout the operation. Special attention should be paid to any increases in casing pressure which could indicate downhole issues.
The document discusses various natural reservoir drive mechanisms that provide energy for hydrocarbon production including:
1) Solution gas drive where dissolved gas expands due to pressure drop, providing 5-25% oil recovery.
2) Gas cap drive where free gas expansion drives production, providing 20-40% oil recovery.
3) Water drive where aquifer water influx provides pressure to displace oil, providing 35-75% oil recovery.
4) Gravity drainage where gas migrates updip and oil downdip in high dip reservoirs.
The Cambay #15 well has experienced 100% water cut due to excess water production. To address this, a squeeze cement job will be performed to seal off the existing open interval between 1400-1404.5m. Cement will be squeezed into this zone and the tubing shoe adjusted upwards to 1395m to perforate a new production zone higher in the formation, transferring production to upper sands with the aim of resuming oil production.
- Reservoirs are classified based on the composition of hydrocarbons present, initial reservoir pressure and temperature, and the pressure and temperature of produced fluids.
- A pressure-temperature diagram is used to classify reservoirs and describe the phase behavior of reservoir fluids, delineating the liquid, gas, and two-phase regions.
- Based on the diagram, reservoirs are classified as oil reservoirs if the temperature is below the critical temperature, and gas reservoirs if above the critical temperature.
A drill stem test (DST) is used to test characteristics of a newly drilled well while the drilling rig is still on site. It can provide estimates of permeability, reservoir pressure, fluid types, wellbore damage, barriers and fluid contacts. There are three main methods to analyze DST data: Horner's plot method, type curve matching method, and computer matching. Type curve matching involves matching pressure change over time data from the DST to standard type curves to determine properties like permeability and skin factor. Gringarten type curves are commonly used and account for variations in pressure over time based on reservoir-well configurations.
Selection of the best artificial lift systems for the well depend on location, depth, estimated production, reservoir properties, and many other factors. Here is an overview on selection criteria for the best results
Production optimization using gas lift techniqueJarjis Mohammed
After completed the drilling, set the tubing and completed the well successfully, Petroleum engineers realize that the hydrocarbon fluid won't lift up from bottom hole to the surface by its reservoir drives which are mainly gas cap or water drive. Simply the gas lift technique is to reduce the density of hydrocarbon fluid inside the well to lift it to the surface by injecting compressed gas.
production optimization nowadays is a vital thing to capture for every gas field to get proper production rate. That's they need proper way to optimize there production. Here I have discussed about the process of production optimization using prosper softer from petroleum expert.
This document summarizes a student's fluid mechanics lab experiment on measuring mud density. The aim was to learn how to use a mud balance apparatus to measure the density of drilling mud and see how density changes with the addition of barite. The student first prepared a bentonite mud and measured its density. Barite was then added to increase the mud density, which was remeasured. Understanding mud density is important for maintaining proper hydrostatic pressure to prevent fluid influx from formations during drilling.
Artificial lift technology uses mechanical devices like pumps or velocity strings to increase the flow of liquids like oil or water from production wells. Artificial lift is needed when reservoir pressure is insufficient to lift fluids to the surface. Common artificial lift systems include reciprocating rod lift, progressing cavity pumping, hydraulic lift, gas lift, plunger lift, and electric submersible pumping. The appropriate system depends on factors like well characteristics, reservoir properties, fluids, surface constraints, and economics. Key components include pumping units, motors, sucker rods, pumps and accessories. Benefits include flexibility and ability to optimize production levels. Limitations depend on the specific system but may include depth rating, temperature sensitivity, fluid properties, or need for a
Analyzing Multi-zone completion using multilayer by IPR (PROSPER) Arez Luqman
The primary objective of any well drilled and completed is to produce Hydrocarbons; by loading the Hydrocarbon (i.e. Oil and Gas) contained within the well through a conduit of the well and start separating it with surface facilities depending on type and composition of the Hydrocarbon.
Producing oil is simultaneously contained with problems depending on the type and properties of the reservoir.
Furthermore, what makes the problems much more; is when oil and/or gas is produced from multi-zones at the same time, when accumulated problems from all the producer zones occurring at the same time.
To help analyze this problems we are going to use PROSPER software package IPR multilayer, in which helps in identifying the relationship between Flow rate and Reservoir pressure.
Production Optimization using nodal analysis. The nodal systems analysis approach is a very flexible method
that can be used to improve the performance of many well
systems. The nodal systems analysis approach may be used to analyze
many producing oil and gas well problems. The procedure can
be applied to both flowing and artificial
This document provides an overview of electrical submersible pumping (ESP) systems. It describes the key components of ESP systems, including downhole equipment like pumps, motors, and sensors, and surface equipment like transformers and motor controllers. It outlines the steps for designing an ESP system, such as collecting well data, determining production capacity, calculating fluid volumes, and selecting the appropriate pump and other components. The goal is to design a system that can lift fluids to the desired production rate while accounting for factors like fluid properties, well characteristics, and power constraints.
This document was produced as part of my final year project of training to obtain a petroleum engineering diploma.
The aim of this project is to make a comparative study between continuous and intermittent gas lift systems based on real data from an oil well in Algeria, and to choose the system best suited to increase the production of the well.
This study was carried out by a manual design using the method of “fixed pressure drop” for the continuous gas lift system and “fallback gradient” method for intermittent gas lift system.
We were able to determine at the end of this study that the system best suited to the current conditions of our well would be the intermittent gas lift system and we also proposed that it should be combine with the "plunger lift " system in order to increase the efficiency of the intermittent gas lift system by eliminating problems linked to the phenomenon of" fallback " thus increase the production of our wells.
The document discusses oil recovery methods including primary, secondary, and tertiary (enhanced oil recovery) techniques. Primary recovery uses natural reservoir pressures to produce 10-25% of oil initially in place. Secondary recovery maintains pressure through water or gas flooding to produce additional oil. Tertiary/enhanced oil recovery (EOR) uses sophisticated thermal or non-thermal methods like gas injection to extract more oil, becoming more important as oil prices rise. The document focuses on different driving mechanisms in primary recovery and introduces EOR methods.
1) Los sistemas de levantamiento artificial incluyen levantamiento por gas (gas-lift) y bombeo, siendo los métodos gas-lift continuo e intermitente descritos. 2) El gas-lift continuo inyecta gas de forma continua para reducir la presión y producir, mientras que el intermitente inyecta grandes volúmenes cíclicamente. 3) La eficiencia del gas-lift continuo depende de factores como la profundidad de inyección y la relación gas-líquido.
Este documento describe diferentes sistemas de levantamiento artificial, incluyendo gas-lift y bombeo. Explica el levantamiento artificial por gas continuo e intermitente, y cómo optimizar la eficiencia mediante el seguimiento de la relación gas-líquido. También cubre el análisis de curvas de oferta y demanda para sistemas de bombeo y el monitoreo del nivel dinámico del fluido.
The document discusses drill stem testing (DST), which is used to evaluate reservoir properties. It describes the key components of a DST tool, including pressure recorders, test valves, packers, and more. It also outlines the steps to design a DST plan, considering factors like the test interval, packer selection and location, choke selection, and more. Finally, it explains how to execute a DST, interpreting the pressure chart by describing the initial flow, initial shut-in, final flow, and final shut-in periods marked on a sample chart.
Horizontal Well Performance Optimization AnalysisMahmood Ghazi
The document discusses optimization of production from horizontal wells using nodal analysis and the PROSPER software. It outlines factors that affect pressure losses in horizontal and inclined well sections and describes how nodal analysis can be used to model well deliverability and optimize parameters like well length. Results from PROSPER simulations show how inlet pressure, pressure drop, and flowrate increase with longer well lengths up to an optimal value. The document concludes horizontal wells can be optimized for production using nodal analysis and PROSPER to evaluate factors affecting pressure losses and choose well parameters.
This document discusses key properties of crude oil, including:
1) Oil is classified based on properties like specific gravity, viscosity, density, etc. with specific gravity and viscosity most commonly used. Specific gravity is represented by API gravity which ranges from 8 to 58 degrees.
2) Bubble point pressure is the pressure at which a small amount of gas is in equilibrium with oil. When pressure drops below this point, gas is liberated from the oil.
3) Other properties discussed include formation volume factor (ratio of reservoir to surface volumes), solution gas-oil ratio (amount of gas dissolved in oil), and compressibility (change in volume with pressure change).
Bullheading is a common non-circulating method for killing live wells prior to workovers. It involves pumping kill fluid into the tubing to displace produced fluids back into the formation. A bullheading schedule is generated using formation pressure, desired overbalance, fracture pressure, tubing specifications, and pump data to safely control pumping pressures within the initial and final maximum pressures. The schedule provides checkpoints to monitor pumping pressure and volume throughout the operation. Special attention should be paid to any increases in casing pressure which could indicate downhole issues.
The document discusses various natural reservoir drive mechanisms that provide energy for hydrocarbon production including:
1) Solution gas drive where dissolved gas expands due to pressure drop, providing 5-25% oil recovery.
2) Gas cap drive where free gas expansion drives production, providing 20-40% oil recovery.
3) Water drive where aquifer water influx provides pressure to displace oil, providing 35-75% oil recovery.
4) Gravity drainage where gas migrates updip and oil downdip in high dip reservoirs.
The Cambay #15 well has experienced 100% water cut due to excess water production. To address this, a squeeze cement job will be performed to seal off the existing open interval between 1400-1404.5m. Cement will be squeezed into this zone and the tubing shoe adjusted upwards to 1395m to perforate a new production zone higher in the formation, transferring production to upper sands with the aim of resuming oil production.
- Reservoirs are classified based on the composition of hydrocarbons present, initial reservoir pressure and temperature, and the pressure and temperature of produced fluids.
- A pressure-temperature diagram is used to classify reservoirs and describe the phase behavior of reservoir fluids, delineating the liquid, gas, and two-phase regions.
- Based on the diagram, reservoirs are classified as oil reservoirs if the temperature is below the critical temperature, and gas reservoirs if above the critical temperature.
A drill stem test (DST) is used to test characteristics of a newly drilled well while the drilling rig is still on site. It can provide estimates of permeability, reservoir pressure, fluid types, wellbore damage, barriers and fluid contacts. There are three main methods to analyze DST data: Horner's plot method, type curve matching method, and computer matching. Type curve matching involves matching pressure change over time data from the DST to standard type curves to determine properties like permeability and skin factor. Gringarten type curves are commonly used and account for variations in pressure over time based on reservoir-well configurations.
Selection of the best artificial lift systems for the well depend on location, depth, estimated production, reservoir properties, and many other factors. Here is an overview on selection criteria for the best results
Production optimization using gas lift techniqueJarjis Mohammed
After completed the drilling, set the tubing and completed the well successfully, Petroleum engineers realize that the hydrocarbon fluid won't lift up from bottom hole to the surface by its reservoir drives which are mainly gas cap or water drive. Simply the gas lift technique is to reduce the density of hydrocarbon fluid inside the well to lift it to the surface by injecting compressed gas.
production optimization nowadays is a vital thing to capture for every gas field to get proper production rate. That's they need proper way to optimize there production. Here I have discussed about the process of production optimization using prosper softer from petroleum expert.
This document summarizes a student's fluid mechanics lab experiment on measuring mud density. The aim was to learn how to use a mud balance apparatus to measure the density of drilling mud and see how density changes with the addition of barite. The student first prepared a bentonite mud and measured its density. Barite was then added to increase the mud density, which was remeasured. Understanding mud density is important for maintaining proper hydrostatic pressure to prevent fluid influx from formations during drilling.
Artificial lift technology uses mechanical devices like pumps or velocity strings to increase the flow of liquids like oil or water from production wells. Artificial lift is needed when reservoir pressure is insufficient to lift fluids to the surface. Common artificial lift systems include reciprocating rod lift, progressing cavity pumping, hydraulic lift, gas lift, plunger lift, and electric submersible pumping. The appropriate system depends on factors like well characteristics, reservoir properties, fluids, surface constraints, and economics. Key components include pumping units, motors, sucker rods, pumps and accessories. Benefits include flexibility and ability to optimize production levels. Limitations depend on the specific system but may include depth rating, temperature sensitivity, fluid properties, or need for a
Analyzing Multi-zone completion using multilayer by IPR (PROSPER) Arez Luqman
The primary objective of any well drilled and completed is to produce Hydrocarbons; by loading the Hydrocarbon (i.e. Oil and Gas) contained within the well through a conduit of the well and start separating it with surface facilities depending on type and composition of the Hydrocarbon.
Producing oil is simultaneously contained with problems depending on the type and properties of the reservoir.
Furthermore, what makes the problems much more; is when oil and/or gas is produced from multi-zones at the same time, when accumulated problems from all the producer zones occurring at the same time.
To help analyze this problems we are going to use PROSPER software package IPR multilayer, in which helps in identifying the relationship between Flow rate and Reservoir pressure.
Production Optimization using nodal analysis. The nodal systems analysis approach is a very flexible method
that can be used to improve the performance of many well
systems. The nodal systems analysis approach may be used to analyze
many producing oil and gas well problems. The procedure can
be applied to both flowing and artificial
This document provides an overview of electrical submersible pumping (ESP) systems. It describes the key components of ESP systems, including downhole equipment like pumps, motors, and sensors, and surface equipment like transformers and motor controllers. It outlines the steps for designing an ESP system, such as collecting well data, determining production capacity, calculating fluid volumes, and selecting the appropriate pump and other components. The goal is to design a system that can lift fluids to the desired production rate while accounting for factors like fluid properties, well characteristics, and power constraints.
The document discusses the performance of electrical submersible pumps (ESPs) in the Messla oil field in Libya. It finds that ESP run life has sharply decreased in recent years due to a gap between reservoir management and ESP system reliability. To improve the system for the next 5-10 years, it recommends fixing pump setting depths based on predicted reservoir pressures. This will improve reliability, better prepare stock inventory, and reduce costs.
properties such as (plastic viscosity, yield point ad gel strength) of the drilling fluid ivestigated using OFFITE model 900 viscometer and a computer which can offer a very accurate result.
Sec Process Control Past Present and Future2222Roger Colee
This document summarizes improvements made to secondary wastewater treatment processes at two treatment plants. At the Northside plant, instrumentation was improved in the aeration basin, including adding dissolved oxygen probes and correlating data to optimize solids retention time and wasting. At the Southside plant, process changes like increasing dissolved oxygen and return activated sludge flow enabled some ammonia removal without dedicated nitrogen removal infrastructure. Both plants saw performance benefits from improved data monitoring, process control, and solids inventory management.
MPC uses Petro-SIM for flowsheet modeling across its six refineries, including converting 500 models to Petro-SIM. FCC and other reactor models were updated to the latest versions. Refinery-wide models were built for two refineries that include custom representations using spreadsheets. Crude assays are imported from spiral assays and calibrated in Petro-SIM. Spreadsheets and user code allow flexible modeling of logic switches and CSTR reactors to represent refinery units.
1) A step test was performed on a simulated gas processing plant to generate data for building a dynamic model predictive controller (DMC).
2) An economic model was generated using the steady state gains from the plant test data to calculate the linear programming (LP) costs associated with changes in economic variables like duty rates.
3) Equal concern errors were calculated for controlled variables (CVs) like sales gas dew point and propane composition based on their relative importance, with a higher weight given to maintaining propane composition given its greater economic impact.
j2 Universal - Modelling and Tuning Braking CharacteristicsJohn Jeffery
1) The document outlines tuning the braking characteristics of an aircraft model using flight test data. Key steps included generating test cases from the data, reconstructing the data for analysis, and performing a re-prediction analysis to identify discrepancies.
2) Regression analysis on acceleration errors was used to derive an improved braking friction coefficient table. Additional tuning of thrust reverser dynamics provided better matching of deceleration profiles.
3) Sanity checks confirmed the friction coefficients derived were feasible. The tuned model matched the flight data to tolerances required for pilot training simulation.
Script for Comparison vertical flow models BHR Cannes June 14 2013 presentationPablo Adames
This document summarizes the presentation of a paper comparing mechanistic models of gas-liquid flow in vertical and deviated wells. It introduces the objectives of comparing published models and evaluating if more recent models perform better. The methodology section describes the models selected for comparison, well data used, and a relative performance index developed. The results section shows the original models performed poorly while the Gregory and OLGAS models performed the best overall based on the index calculations.
Best practices for_the_construction_of_well_modelsAlfonso R. Reyes
This document provides best practices for constructing well models. It recommends collecting complete and standardized well data, including downhole equipment details, pressure tests, fluid properties, and schematics. Field data such as wellhead measurements and flowline schematics should also be gathered. When building models, appropriate IPR, VLP, and PVT correlations should be selected and carefully matched to data. Models should be saved systematically with documentation of changes.
This presentation contains an overview of tracking plant performance, with its application in two case studies, including gas compression train monitoring (Aspen) and production facility surveillance system (HYSYS).
Experimental Investigation on Performance of Turbo-matching of Turbocharger A...IRJET Journal
This document experimentally investigates the performance of matching a turbocharger (A58N72) to a TATA 497 TCIC - BS III diesel engine. The researchers used simulation software to initially match the turbocharger to the engine. They then validated the match using a data logger during road tests with the vehicle. The data logger recorded operating parameters which were plotted on a compressor map to analyze the match for issues like surge or choke. The goal was to ensure the engine operating points fell within the efficient heart region of the compressor map during all operating conditions.
Modelon - Fuel System Modeling & Simulation SolutionModelon
The document discusses modeling and simulating aircraft fuel systems. It provides an overview of fuel system components and operating modes. It also introduces Modelon libraries that can be used to model fuel storage, pressurization, transfer, heat transfer, and other functions. Examples of applications include filling tank simulations, inerting systems, fuel transfer, and assessing flammability. The document discusses using the libraries for both offline and real-time simulations.
Ibrahim Abdelaziz has over 9 years of experience in petroleum engineering and production technology in Egypt. He currently works as an Application Engineer for Qarun Petroleum Company, where he is responsible for designing, monitoring, and optimizing 170 beam pumping wells. Previously, he worked as an Operations Supervisor and Reservoir Engineer for Qarun Petroleum, and spent 5 years as a Field Petroleum Engineer supervising 500 wells and an oil processing plant. He has extensive experience in well operations, artificial lift systems, reservoir evaluation, and production optimization.
Improving continuous process operation using data analytics delta v applicati...Emerson Exchange
The document discusses applying data analytics to improve continuous process operation. It describes developing models using process data to enable online fault detection and quality parameter prediction. A field trial was conducted on a CO2 recovery process that uses a 2-stage flash skid. The data analytics models allow operators to more quickly respond to conditions impacting process operation and quality.
This document provides an overview of using Aspen Plus simulation software for modeling pharmaceutical processes. It introduces Aspen Plus and describes its interface, key components like the model library, data browser, and simulation run toolbar. It also covers selecting appropriate thermodynamic models and property methods, which are crucial for simulation accuracy. The document outlines topics to be covered, including thermodynamic properties, unit operations like heat exchangers and reactors, and provides an example flowsheet of a vitamin concentration process.
Optimization of Separator Train in Oil IndustryIRJET Journal
This document discusses optimization of the separator train in the oil industry. It begins with an abstract describing how crude oil extracted from reservoirs is a mixture of oil, gas, water and other impurities. Separators are used to separate these components. The document then provides details on separator tests conducted to determine how the reservoir fluid's volumetric behavior changes as it passes through separators. These tests provide data to optimize separator operating conditions and maximize stock tank oil production. Tables of sample fluid composition and separator test results are included. The objectives of single and multi-stage separator tests are described. Calculations for determining properties like oil formation volume factor, solution gas-oil ratio and stock tank oil gravity are presented using the test data. Overall, the
This document provides instructions for a lab demonstrating the energy savings from using a variable frequency drive (VFD) to control pump speed compared to throttling valve control. It includes an equipment list, instructions for configuring a PowerFlex 700 drive and connecting it to the pump demo, and steps for collecting power and current data at various flow rates using DriveObserver software to calculate the energy savings. Running the pump at lower speeds with the VFD reduces power consumption and wear compared to throttling the pump.
The aim of this experiment is to determine the rheological properties of the mud by using model 900 viscometer.
1- Measuring mud viscosity (cp). That show the ability of the mud to caring cutting to the surface.
2- Measuring yield point. We was familiar with viscometer model 900
Testing of Mixed Flow Vertical Turbine PumpIRJET Journal
This document summarizes the testing of a mixed flow vertical turbine pump. The pump was tested at Kirloskar Brothers Limited's Hydraulic Research Center to obtain performance data. A variety of instruments were used to measure discharge, head, power input, speed, vibration, and noise. Test results showed the pump operated at 87.5% efficiency at its duty point with acceptable vibration and noise levels. A performance curve was generated from test data that closely matched the required curve, demonstrating the pump would perform as intended.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
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2. ─ Nodal analysis is a petroleum engineering core technique that is used to
analyze well performance or deliverability.
─ A lot of software's are available in the market for this purpose, one of the
common widely used software used in the market is the “PROSPER”.
─ The outputs from PROSPER models are then used in subsequent
engineering calculations and studies. Therefore, consistent and accurate
well models are necessary in performing and achieving the state-of-the-
art engineering work.
─ Prior to building a PROSPER model for a well, necessary data is
required. This data is acquired during the post completion or surveillance
well tests. Once the data is identified, it should be quality checked and
organized. Then work on the PROSPER modeling can start.
3. PROSPER models require updates whenever the following well data is
available:
─ Post completion test data should be used as the starting data set for
developing a PROSPER model for the first time. Although it is not a
priority for wells when latest data is available, still it is worth checking the
validity of the PROSPER model with different data sets.
─ Multi rates tests (MRT) data with bottomhole gauge data. This data is the
most important data set that PROSPER model should be calibrated with.
─ Eventually PROSPER will be updated with the daily production data in
cases only a single rate test (SRT) is available or there are no MRT
available for long period of time for a given reason.
4. Following are some of the technical tasks requires utilization of the
PROSPER models sometimes as frequent as on a daily basis.
─ The immediate application of PROSPER is using the vertical lift curves
(VLP) for each well in running the Production Guidelines on routine basis.
─ Well performance analysis and monitoring (time-lapse performance
change, AOF analysis, skin, reservoir pressure change, etc…).
─ Create vertical lift performance (VLP) curves for simulation models.
─ GAP model, either standalone or as a repository for the ongoing Real
Time Production Optimization Project.
Because of the importance of all above utilization of PROSPER models,
consistently and accurately updated well models are essential.
Following discussion includes the detailed standard procedures that should
be followed to build, calibrate & update a PROSPER well model starting from
data preparation to the last step of the calibration process.
5. Before you open PROSPER.
─ To build a PROSPER model from scratch or update an existing model, a
data preparation phase is required and it is explained in a step by step as
follow:
─ Fill in an existing and pre-organized EXCEL file. This file is named “input
data for PROSPER”. The file contains three data sheets. These sheets
are organized in such a way to accommodate all wells and all the data
needed for PROSPER. These sheets are named:
o Completion
o Test
o PVT and IPR.
6. Completion Data.
─ In this tab the tubing lengths and ID are input. The key elements to
consider when filling this table are:
o Only major ID changes are considered
o All depths start from the tubing hanger in MD RKB (not SS)
o Last section depth is the top perforation
The detailed information is obtained from the well schematics shown in next
slide to illustrate how the tubing depths and ID are picked and where the
data is entered in PROSPER
7. OBJECTIVE
Prosper Modeling aims to assess and predict well production and
performance through simulation by doing the following.
─ Build an integrated oil well which represents the real flowing conditions of
the well.
─ Insert and match PVT data to reproduce the results of laboratory
experiments.
─ Insert the required equipment data to build a VLP curve.
─ Build a Darcy IPR model and include an analytical skin model to account
for the differences between the 'ideal' Darcy reservoir model and the real
life well.
─ Insert the required data to include the impact of a gravel pack on the IPR.
─ Match the VLP curve to test data.
─ Use the matched VLP curve to estimate the reservoir pressure at the time
of the test when the productivity is known.
─ Carry out a sensitivity to see the impact that water cut has on well
production.
9. System summary & setup the model
─ The first step in any PROSPER model is to setup the type of well which is to be
modelled.
─ The option screen can be also accessed by selecting Options in the main
menu → Options and in this case, the data is kept as the default for all the
options with the fluid being ‘Oil and Water
10. System summary & setup the model
Fluid description: choice between “Dry & Wet gas” & “Retrograde condensate”.
─ If “Dry & Wet gas” black-oil model option is selected, separator will be defined
as single-stage.
─ If “Retrograde Condensate” black-oil or equation of state is selected, up to 10
stages of separation can be modelled. (Retrograde Gases: GOR 3,300 to
50,000 SCF/STB, i.e. CGR 20 to 300 bbl/MSCF; API 40 to 60).
─ If hydrates formation
needs to be evaluated,
a hydrate formation
table needs to be
imported.
11. System summary & setup the model
Calculation type:
─ Predict:
o The “Pressure only” option is fast and can provide accurate pressure
profiles. However, it does not account for changes of temperature due to
variation of operating conditions.
o The “Pressure and Temperature” option is preferred, especially for gas
wells.
o Three models for
temperature
calculation are
then proposed,
with increasing
complexity.
12. System summary & setup the model
Calculation type:
─ Model:
o Rough approximation” is suitable for most routine analysis.
▪ The geothermal gradient should be related to stabilized temperatures
(i.e. extrapolated) and must not be confused with flowing temperatures
required for the “Pressure only” option.
o “Enthalpy balance” and “Improved Approximation” allow considering the
transient effects of temperature.
o The “Improved Approximation” temperature model requires calibration
using measured temperature data. It is not accurate in a predictive mode.
o They require considerably more input data and computation time. This
should be restricted to some particular analysis when a detailed
temperature prediction is required:
▪ Long pipelines;
▪ Subsea wells;
▪ High pressure/temperature wells;
▪ Wax/hydrate deposits analysis;
▪ Joule-Thompson effects.
13. System summary & setup the model
─ When this section has been completed, select Done to return to the main
PROSPER screen.
15. PVT Data
─ To predict pressure and temperature changes through the reservoir, up the
wellbore and along the surface flow lines it is necessary to accurately predict
the fluid properties as both pressure and temperature change.
─ The user must enter data that describes the fluid properties or enables the
program to calculate them. There are three options as follow:
Correlation
If only limited data is available (formation GOR, oil gravity, gas gravity
and formation water salinity required for oil), the program uses
traditional black oil correlations, such as Glaso, Beal, Petrosky etc. to
calculate the fluid properties.
Recommendation: Enter data as requested on PVT input data screen
and select correlations that are known to best fit the region or oil type.
Matching
If both limited fluid property data and some PVT laboratory
measured data is available, the program can modify the correlations to
best fit the measured data using a non-linear regression technique. The
matched correlations will be used from then on to calculate all the fluid
properties required in the multiphase flow calculations.
Recommendation: The laboratory PVT data and the fluid properties
entered on the data input screen must be consistent.
16. PVT Data
Tables
If detailed PVT data is available, it may be entered in tabular format.
The program if instructed will use the tabular data where
available. Where tabular data has not been entered the program will
calculate it using the selected correlation.
Use of Tables: Tables are usually generated using one fluid composition
which implies a single GOR for the fluid.
This will therefore not provide the right fluid description when we have
injection of hydrocarbons in the reservoir or when the reservoir pressure
drops below the bubble/dew point.
There is also a danger that if the range of pressure and temperature is
not wide enough the program may have to extrapolate properties. This
can lead to erroneous properties being calculated.
Recommendation: Whether PVT tables have been input or not,
PROSPER will use correlations unless the Use Tables box on the PVT
Input screen has been selected. Do not select Use Tables unless
complete PVT tables have been entered. Data at only one temperature
is not adequate in many cases.
17. PVT Data
─ The next stage is to insert the available PVT data which will be used to
calculate our fluid's properties in the model.
─ This table is a summary of the Flash PVT data input to use.
Temperature of Test 210
o
F
Bubble Point at Test Temperature 3500 psig
Pressure GOR Oil FVF Viscosity
4000 800 1.42 0.364
3500 800 1.432 0.35
3000 655 1.352 0.403
2400 500 1.273 0.48
1000 190 1.12 0.7205
GOR 800 scf/STB
Oil Gravity 37 API
Gas Specific
Gravity
0.76
Water Salinity 23000 ppm
Mole % H2S 0%
Mole % CO2 0%
Mole % N2 0%
18. PVT Data
─ The PVT input screen can be also accessed by selecting the PVT in the main
menu → Input Data tab and the PVT data to be entered can be seen as below.
─ Enter the general OVT data in the Input section below.
19. PVT Data
─ If the fluid composition data is available, it can also be loaded here.
20. PVT Data
─ Insert the available PVT test match data in the Match Data tab of the
"Matching" section in the main PVT screen.
Many PVT tables can
be added from here
21. PVT Data
─ Once this has been done, select the "Match data" button at top of the screen.
22. PVT Data
─ This will give this screen that shows the PVT test data entered earlier.
─ If u want to see a plot for any parameter with pressure just click Plot and select
the required parameter to show on a plot from the displayed screen.
23. PVT Data
─ This is the test FVF vs pressure
─ You can change the displayed variable in the plot by clicking this Variables tab.
24. PVT Data
─ Once this has been done, select the "Match" button at the top of the screen
shown below which will allow us to proceed to the regression screen.
25. PVT Data
─ OR to have the same screen from the beginning, just select the "Matching"
button at the top of the screen shown below which will allow us to proceed to
the SAME regression screen.
26. PVT Data
─ On first entering the "Matching" regression screen, the following will be seen.
─ Select Match All at the top of the screen will match ALL the correlations with
ALL the available data.
─ You can select specific test parameter & specific correlation to see the Match.
27. PVT Data
─ In this case select Match All to match all the correlations and data.
─ As shown below, the matching parameters for each correlation can be seen
and the plots for each property can be viewed for each correlation with respect
to the match data.
This is for example the Bubble
point pressures data & plot
using different correlations
You can see the other
parameters matches with
different correlations
from these tabs
28. PVT Data
─ Alternatively, by selecting the Plot option it is possible to see the graph of the
matched correlation compared to the laboratory data points.
29. PVT Data
─ The option of plotting the data is either by Pressure or by
Temperature.
─ Selecting by Temperature will plot each different variable against
pressure and have a different trend line for each temperature.
─ Selecting by Pressure option will show trend lines depending on
pressure and plot against temperature.
─ The correlation which will be shown in the plotting is the correlation
which has been selected in the Correlations section of the above
screen.
─ In this case select by Temperature.
30. PVT Data
─ This is the displayed screen
To plot the required variable:
• First select the PVT Calculated
Data.
• Then double click the required
variable from here (in this example
select FVF).
• The same should also be carried
out for the PVT Match Data.
31. PVT Data
─ This is a plot of the FVF data compared with the only selected correlation
output (in this example I selected Glaso & Beal et al correlations).
─ We can see a good match.
32. PVT Data
─ It is possible to plot other correlations against the test data by selecting Plot All
in the main PVT matching screen.
33. PVT Data
─ This is a plot of the FVF data compared with the ALL correlations outputs.
You can see the other
parameters matches
with different correlations
from these tabs
34. PVT Data
─ It is possible to view all the resultant matching parameters from the regression
screen by selecting Parameters in the main PVT matching screen.
35. PVT Data
─ This is the regression screen for ALL parameters using ALL correlations.
─ For a good match, parameter-1 should be as close to (1) as possible and
parameter-2 should be as close to (0) as possible.
─ Upon reviewing the parameters it can be seen that the best correlations to
select are the Glaso (for rb, Rs, Bo) & Beal et al (for Uo) correlations, and so
these should be selected from the drop-down menus.
36. PVT Data
─ Once you select the appropriate correlations and click Done in the previous
screen, the main PVT matching screen will be updated with the Match data
based on the selected correlations.
─ You can still have the option to see the Mach data for the other correlations by
mocing between these tabs.
You can select the Reset
or Reset All options to
remove the regressions
for the correlations
37. PVT Data
─ Now that the correlations have been matched and the parameters and
plots reviewed.
─ It is necessary to select the correlation which is most representative of
the laboratory data.
─ This is done on the main PVT 'Input Data' screen.
─ The correlations in the drop-down menu are those which will be used in
the model and for this oil the Glaso and Beal et al correlations should
be selected.
─ A green banner can also be seen @ top of the page beside the main
menu bar which tells the user that the correlations have been
matched.
─ See next slide.
38. PVT Data
─ Now everything for PVT is complete so click Done button to return to the main
PROSPER screen.
39. PVT Data Calculations
─ In order to make a plot or list of fluid property data, PROSPER must first
calculate the values over a specified range of temperatures and pressures.
─ Using the calculated data points based on the selected correlation, plots
of fluid properties versus temperature or pressure can be generated.
─ If the correlations have been matched, then the fluid properties will be
calculated using the modified correlations.
─ The calculation section is used to generate fluid property data for display
and quality control purposes only.
─ During the computation of a pressure traverse, PROSPER calculates fluid
properties at each pressure and temperature step or node as required by
the application.
─ Calculating PVT Data, to generate tables and plots of PVT data:
o Select the Correlations (use the best matched ones)
o Enter the temperature range and number of steps
o Enter the pressure range and number of steps
o Click-on Calculate to calculate the PVT data based on the selected
correlation.
41. PVT Data Calculations
─ Following screen will appear.
─ Data can be calculated either:
o Over a range of conditions (Automatic) where data is entered as ranges.
o Or for specific conditions (User Selected) where data entered in table.
─ When all these conditions have been entered, select the DESIRED
CORRELATIONS from the drop-menu list and press Calculate.
42. PVT Data Calculations
─ This is the Calculated PVT Data & the generated tables of PVT data based on
the selected correlations.
─ In order to Plots the results of this calculated PVT data (Plots can either be
viewed with pressure or temperature on the X-axis), just click Plot.
─ In this step I selected the plots X-axis to be viewed with pressure.
43. PVT Data Calculations
─ This is the displayed screen for the Plot.
─ The different fluid properties can be plotted by selecting them in the bottom
left-hand corner of the screen.
44. PVT Data Calculations
─ This is the oil FVF vs pressures plot @ these different temperatures.
45. PVT Data Calculations
─ This will be the plot if I selected the plot X-axis to be viewed with
temperatures.
─ This is the oil FVF vs temperatures plot @ these different pressures.
46. PVT Warning
─ This option allow entering a series of points describing the pressure-
temperature region in which the selected PVT issue (such as Hydrate
Formation, Salt Precipitation, Wax Appearance, Asphaltenes & Scale
Production) is likely to form.
─ This information can be obtained from a study of your hydrocarbon fluid
using Petroleum Experts' PVTP program.
─ Up to 100 pairs of data points can be entered and plotted.
47. PVT Warning
─ To accesses this option, PROPSER main menu → PVT → PVT
Warning.
Select Enable Warning
beside any conditions that
may be an issue in the field
Click the Data button
beside the selected
conditions to add the
required data for this
condition
48. PVT Warning
─ For this example, I selected the Hydrates formation that may be an
issue in the field.
─ Click Plot.
52. Specifying Equipment Data
─ In order to calculate the VLP curves for the well, PROSPER must have a
description of the well and the path through which the fluid flows from the
bottom of the well to the wellhead. This is done in the 'Equipment Data' section.
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ This will bring up the 'Equipment Data' screen.
─ In order to fill in data
for all the appropriate
sections select All from
the top ribbon and this
will bring up ticks next
to each section.
─ The Edit button can
now be selected to
bring up each input
section one at a time.
─ To move onto the next
input screen, select
Done.
53. Specifying Equipment Data
─ To start the data entry for a new application, click All button to select all the
different sections and click the Edit button will then display all the relevant input
screens in sequence.
─ If data has already been entered, and only one section is to be edited (for
example edit downhole equipment), the required section can be accessed by
selecting the square to the left of the ticked box corresponding to that section.
─ Data can be entered for the
surface equipment and then
include or exclude it
temporarily from any
calculation by setting the
Disable Surface Equipment
choice box at the bottom of
the screen to Yes.
─ If data has already been
entered, clicking the
Summary command button
will display a summary of the
current equipment.
─ When finish click Done to
return to the main menu.
54. Specifying Equipment Data - Deviation Survey
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Directional survey then click Edit button.
You can click this
square to Edit the
data directly.
55. Specifying Equipment Data - Deviation Survey
─ In this screen the well deviation
survey is added.
─ it can be also accessed by selecting
System in the main menu →
Equipment (Tubing etc.) → select
Direction Survey in the opened
window → EDIT
─ From the well deviation survey, select
several depth points that mark
significant changes in deviation.
─ Enter pairs of data points for
measured depth (MD) and the
corresponding true vertical depth
(TVD). Up to 20 pairs of data points
can be entered.
─ Then PROSPER will calculate the
cum. Displacement & the Angle.
56. Specifying Equipment Data - Deviation Survey
─ There is a Measured Depth to True
Vertical Depth calculator at the top
of the screen.
─ This option is to calculate the TVD
for the known MD value & vise versa.
─ If the user wishes to find the TVD at
a given MD, just enter the MD value
in the relevant space & select
Calculate.
─ Once depths have been entered, plot
the well profile by selecting Plot. A
plot like the one in the next slide will
be displayed.
─ When finish click Done to return to
the main screen.
57. Specifying Equipment Data - Deviation Survey
─ This is the plot of the entered MD & TVD data vs the calculated Cumulative
Displacement .
58. Specifying Equipment Data - Deviation Survey
─ The reference depth used by PROSPER for all calculations is zero in the Deviation
Survey table.
─ The deviation survey has to start with (0) measured depth & (0) TVD. Due to this
reason, the reference depth (where TVD = 0) has to be @ or above the wellhead.
─ For a sub-sea well (with or without pipeline), if the reference depth is selected in
such a way that it is above the wellhead (at the mean sea level for instance), we
can assume an imaginary vertical path in the deviation survey table down to the
wellhead. We do not need to include the pipeline measured depth in the deviation
survey. The deviation survey describes the deviation of the down-hole equipment
only.
─ MD and TVD data must be at least as deep as the bottom-hole tubing depth;
PROSPER will not calculate beyond the last depth in the table.
─ Deviation Survey data entry is required also for vertical wells - enter (0 , 0) for
the surface reference and MD the same as the TVD of the intake node.
─ Horizontal wells with deviation angles greater than 90 degrees from vertical can be
entered. PROSPER will issue a warning that the TVD of one node is less than the
previous one, but well profile plots and calculations will proceed as normal.
─ For Horizontal wells the deviation survey may be entered only up to the heel of the
well (at the end of the bend curve), as the well from the heel all the way up to the
ending point is a part of the inflow description.
59. Specifying Equipment Data ─ Deviation Survey ─ Filter
Note that:
─ If the deviation survey has more
than 20 data points, it is possible
to reduce the number of points
using a filter algorithm.
─ When selecting Filter, the program
will filter the points in order to
reproduce the well trajectory.
─ This Filter option allows a
determined number of points (up to
20) that best-fit the entered points.
─ This option is accessible by
selecting the Filter button that
have a feature to fit deviation
survey with up to 1000 points.
60. Specifying Equipment Data ─ Deviation Survey ─ Filter
─ Select Raw Data Type
(MD/TVD, TVD/Angle or
MD/Angle)
─ Enter the data from the survey
in the Raw data table. It is
possible to copy the survey
data then select the first row in
the Raw data table and paste
from the Clipboard.
─ Calculate Other: to calculates
the other unknown parameter
by knowing the two parameters
entered in the Raw Data Type.
For example, If MD/TVD was
used, then it will calculate the
angle of deviation from vertical.
61. Specifying Equipment Data ─ Deviation Survey ─ Filter
- The Filter parameters are described in the following table:
Initial Filter
Angle
Used to chose second point of the deviation survey; the point with
higher angle will be filtered through
Angle Step Defines the minimum angle difference between two points; if the
difference is higher the point will be filtered through
Maximum
Number of
Points
• The Maximum Number of Points that can be filtered through
• If the number of points filtered is more than the value specified
PROSPER will increase the angle to satisfy the criterion
Actual Filter
Angle
The angle calculated by PROSPER to satisfy Maximum Number of
Points criteria
- Besides the standard buttons there are some additional buttons:
Reset Deletes the entered data
Filter • Calculates several points which fit the deviation table entered
in the Raw Data Type. Check the fitting by hitting on Plot.
• If this is not ok, change some parameters (like for example the
Initial Filter Angle) until the match is reached
Transfer Transfers the calculated points to the main Deviation Survey screen
62. Specifying Equipment Data ─ Deviation Survey ─ Filter
─ The filtering is performed on the basis of Measured Depth (not Cumulative
Displacement). In essence, the filtering ensures that the measured depth (and
TVD) between two points is always consistent with the original survey even
though plotted profiles may appear slightly different. This is because
Measured Depth defines length of the pipe (tubing), which is particularly
important in temperature and pressure drop calculations in PROSPER.
─ The first point of the deviation survey is always filtered through as a starting
point.
─ Then the Initial Filter Angle parameter is used to choose second point of the
deviation survey; i.e., the first point along the deviation survey where the angle
from the vertical goes above the initial filter angle will pass through the filter
and is selected as the second point.
─ The next points are filtered through based on the Angle Step; i.e., if the
difference in the angle between two points is more than the value specified.
─ PROSPER calculates the Angle Step internally depending on the Maximum
Number of Points entered by user; i.e., if the number of point passed through
the filter is more than the Maximum Number of Points specified the angle will
be increased to satisfy the former. The resulting value is then reported as
Actual Filter Angle.
63. Specifying Equipment Data ─ Deviation Survey ─ Filter
─ After clicking the Filter button
and the filtered data is updated
in the Filtered Data table then
you have to check these new
calculations that it matches wit
the original deviation survey.
─ Just click on Plot button to do
this quality check the fitting by
comparing the new calculations
that it matches wit the original
deviation survey on a plot (see
next slide).
64. Specifying Equipment Data ─ Deviation Survey ─ Filter
─ In the plot the well entered trajectory (in blue) is plotted along with the fitted
points (in red).
─ This is comparison of the new calculations that it matches wit the original
deviation survey plot that shows an excellent match.
65. Specifying Equipment Data ─ Surface Equipment
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Surface Equipment then click Edit button.
You can click this
square to Edit the
data directly.
66. Specifying Equipment Data ─ Surface Equipment
─ The Surface Equipment screen is used to enter surface flowline, choke & pipe
fitting data as shown below.
─ Data is entered from the manifold (@ the top of the screen) to the wellhead
(@ the bottom of the screen).
Select the desired
choke correlation
model to calculate
the choke
performance curve.
It is recommended to
use the ELF Choke
correlation since it is
more robust in
extreme conditions.
Ensure that this depth of the most upstream point
defined in the Surface Equipment (which connects to the
Xmas Tree) is the same as the Xmas Tree depth defined
in the Downhole Equipment to avoid any error message.
67. Specifying Equipment Data ─ Surface Equipment
─ It is possible to import pipe ID values from Pipe Schedule databases by click
the Pipe Schedule button then select the type of pipe from the database →
copy → done.
@ the bottom in the
displayed screen,
select Copy ID and
OD to Selected
Records, then
Done, this will pass
the values to the
equipment screen
here.
68. Specifying Equipment Data ─ Surface Equipment
─ The surface equipment model can be described using the following 4 elements.
Pipe Segment of pipe
Choke
• A multiphase choke correlation is used which is valid for both
critical and subcritical flow.
• The choke model to be used can be selected on this screen. If the
Norsk Hydro model is selected further input will be required. (Use
the Choke Data button). We recommend using the ELF choke
method.
• N.B. The choke model selected in the surface equipment window
will be used to calculate the dP for restrictions and SSSV's in the
downhole equipment window.
Fittings It allows to determine the dP associated to a wide range of fittings
Pump
A multiphase pump can be entered provided this has been setup in
the system summary screen
N.B. When specifying the pump in the surface equipment it should be noted that the
pump cannot be specified next to the wellhead or manifold.
If your configuration requires this then specify a small length of pipe (1 ft) in order
that the fluid properties are set up correctly.
69. Specifying Equipment Data ─ Surface Equipment
─ PROSPER defines surface equipment as the pipe work between the
production manifold and the upstream side of the wellhead choke.
─ The production manifold is regarded by PROSPER as presenting a constant
back-pressure, regardless of flow rate.
─ If systems analysis is to be performed relative to the wellhead, (i.e., gathering
system pressure losses are neglected) then no surface equipment input is
required.
─ The manifold is set as the first equipment type automatically by PROSPER.
─ Surface equipment geometry can be entered either as pairs of X, Y
coordinates relative to the manifold or the Xmas Tree, Reverse X, Y (Y
coordinates deeper than the reference depth are negative) or TVD of the
upstream end and the length of the pipe segment.
─ The difference in TVD between the ends of a pipe segment is used to
calculate gravity head losses.
─ The internal diameter (ID), roughness and pipe length entered determine the
friction pressure loss.
─ The flowing temperatures for each upstream node must also be entered when
calculation option Pressure only is selected.
70. Specifying Equipment Data ─ Surface Equipment
─ Ensure that the length of each pipe segment is equal to or greater than the
difference in TVD between its ends.
─ The surface equipment entries must describe a continuous system.
─ The TVD and temperature of the upstream end of the last pipeline segment
should be equal to the X-mas tree TVD and temperature. In X,Y co-ordinates,
the Y co-ordinate of the last pipe segment must be the same elevation as the
wellhead TVD. (i.e., same magnitude, but opposite sign)
─ The Rate Multiplier column enables simulation of the pressure drop due to
several identical wells being connected to a production manifold via a common
surface flow line. The fluid velocity in the flowline is multiplied by the value
entered increasing the frictional pressure losses. For most applications it
should be left at its default value of (1).
─ As an examples for the Rate Multiplier:
o The pressure drop in a flowline connected to 3 identical wells could be
modelled using a pipeline rate multiplier of (3).
o 2 parallel flowlines having identical dimensions can be modelled by entering
the actual dimensions for one pipe and a pipeline rate multiplier of (0.5).
o It is also possible to vary the rate multiplier along the pipeline to simulate
varying sections of dual pipelines for example.
71. Specifying Equipment Data ─ Surface Equipment
─ Fittings have been added to the surface equipment section of PROSPER to
account for the various pressure losses associated with pipe fittings
throughout a given system.
─ Prosper can model pressure ( and temperature) drop across a range of
fittings.
─ These pressure drops are handled using the equivalent length concept from
which it is possible to determine the corresponding pressure drop as in the
following equations.
Where (h) is the decrease in static head (ft) due to velocity
(ft/sec) and is defined as the velocity head.
─ If a valve or fitting is incorporated in the pipeline the equivalent length is:
Where (K) is the resistance coefficient which is defined as
the number of velocity heads lost due to the valve or fitting.
72. Specifying Equipment Data ─ Surface Equipment
─ The (K) values are tabulated for a wide range of fittings and configurations.
Select the desired Valve
type from here
Specify the desired Valve
dimensions from here
73. Specifying Equipment Data ─ Surface Equipment
─ To check that the surface equipment description is accurate, click Plot @ the
top of the main Surface Equipment screen to display a plot of the pipe
elevation as shown below.
74. Specifying Equipment Data ─ Downhole Equipment
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Downhole Equipment then click Edit button.
You can click this
square to Edit the
data directly.
75. Specifying Equipment Data ─ Downhole Equipment
─ The Downhole Equipment section defines the path through which the fluid will
flow as it is produced up the well bore.
─ The Downhole Equipment screen enables the down-hole completion data to be
entered.
─ Downhole Equipment screen will change automatically based on the options
selected in the PROPSER main menu screen toolbar → Options → Options.
─ For example, if Annular Flow is selected when define the well, then the screen
will require Casing I.D. & Tubing O.D. to be entered in addition to Tubing I.D.
76. Specifying Equipment Data ─ Downhole Equipment
─ In my example here I defined the Tubbing flow for the well.
─ In this case the tubing string can be modelled using the following element types
(Tubing, SSSV, Restriction & Casing).
─ PROSPER automatically insert Xmas tree as the first downhole equipment item.
─ To describe the tubing string, work from the shallowest depth downwards,
entering the bottom depth of changes in tubing diameter, ID & roughness factor.
─ The deepest depth entries for the tubing, deviation survey and temperature
should be consistent.
─ The last depth specified in the down-hole equipment is taken to be the bottom-
hole depth by PROSPER and should correspond to the top of the
perforations or the top of the reservoir. This last depth from the down-hole
equipment will be used as the solution node depth which splits the well into
the VLP & IPR. Everything below this depth is considered as part of the IPR.
─ This depth is normally defined as the top of the perforations and thus this
equipment description should stop at the top of the perforations.
─ This depth is also therefore the depth at which the static reservoir pressure is
defined in the IPR section.
─ When the data has been inserted, the next input screen can be accessed by
selecting Done.
77. Specifying Equipment Data ─ Downhole Equipment
─ Below the uppermost producing perforation, the flow profile (as measured by a
production logging tool) depends on layer productivity etc.
o The uppermost producing perforation is the deepest point in the well
passing 100% of the production.
o Below this point, the calculated frictional pressure gradient may be over-
estimated in high rate wells having small I.D. completions.
─ Casing is treated the same as tubing for pressure drop calculations.
o Only enter a downhole equipment description down to the producing
interval being analyzed. i.e., the deepest casing depth entered should be
the point of the producing perforations and equal to the depth of the
reservoir pressure reference.
o The deepest depth entries for the tubing, deviation survey and temperature
should all be consistent.
─ The Rate Multiplier column enables simulation of the pressure drop due to
intermittent sections of dual completion.
─ The fluid velocity in the tubing is multiplied by the value entered - thereby
increasing the frictional pressure losses.
─ For standard single tubing completion, it should be left at its default value of (1).
78. Specifying Equipment Data ─ Downhole Equipment
─ Note that, up to 50 tubing string elements can be input.
─ For complex completions, simplify the data entry by entering only the major
elements that dominate the overall tubing pressure drop.
─ Details of the Downhole equipment to be installed can be found in the table
below.
Type MD (ft)
Inside
Diameter
(Inches)
Inside
Roughness
(Inches)
Rate
Multiplier
X-mas Tree 100 1
Tubing 1000 4.052 0.0006 1
SSSV 3.72 1
Tubing 9000 4.052 0.0006 1
Casing 9275 6.4 0.0006 1
79. Specifying Equipment Data ─ Downhole Equipment
─ This can be inserted (either by typing or by right click on a row in the table then
paste from a copied data from external table) as shown in the screen below.
Select the downhole
equipment component
from this drop menu
for each row
Ensure that this depth of the Xmas
Tree depth defined in the Downhole
Equipment is the same as depth of
the most upstream point defined in
the Surface Equipment (which
connects to the Xmas Tree) to avoid
any error message.
80. Specifying Equipment Data ─ Downhole Equipment
─ It is possible to import tubing & casing ID values from tubing & casing databases
by selecting the type of equipment from the database → copy → done.
Select any cell to copy the required
information from Tubing or Casing
database buttons above
81. Specifying Equipment Data ─ Downhole Equipment
─ Note that this tubing end (9000 ft) is set by default in PROSPER as the top of
perforations @ which the reservoir pressure will be defined.
This depth may be different than the gauge depth that may be hanged or set
away from the tubing end (in this example it was hanged @ depth 6250 ft)
and in this case the extrapolated pressure value @ rate = (0) in the liquid rate
vs. BHFP plot is different than the calculated reservoir pressure @ tubing
end due to gradient difference.
82. Specifying Equipment Data ─ Geothermal Gradient
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Geothermal Gradient then click Edit button.
You can click this
square to Edit the
data directly.
83. Specifying Equipment Data ─ Geothermal Gradient
─ The geothermal gradient (GG) which is entered is the geothermal gradient
of the rock around the well.
─ It is used to calculate the temperature difference that the fluid experiences as
it travels up the well and is used in the calculation of heat transfer.
─ TRes (°F) = GG x Depth (ft TV D/SS) + surface temperature (°F)
─ PROSPER interpolates temperatures from the survey data for depths within
the table limits and uses linear extrapolation elsewhere.
─ To eliminate potential errors, ensure that a temperature is entered for the
deepest node depth.
─ It is recommended that the maximum temperature survey depth, deviation
survey depth and intake node depths are all consistent.
─ The heat transfer coefficient should not be confused with the pipe thermal
conductivity. The overall heat transfer coefficient accounts for the heat flow
through the production tubing, annulus and insulation (if present) to the
surroundings. Heat transfer by forced and free convection, conduction and
radiation must all be accounted for in the value of the overall heat transfer
coefficient. In PROSPER, the overall heat transfer coefficient is referenced to
the pipe inside diameter.
84. Specifying Equipment Data ─ Geothermal Gradient
─ This screen enables entry of the flowing temperature profile of the fluid in
the well. If no bottom hole flowing temperature survey data is available, the
static reservoir temperature at the mid-point of perforations and the
wellhead flowing temperature can be used.
─ A minimum of two depth / temperature points is required
─ The Overall Heat Transfer Coefficient (U) is also input into this screen and
the value should account for the heat transfer from the fluid to the
surroundings. Its unit is BTU/h/ft2/°F.
This depth is the wellhead
(X-tree) depth that should
be the same as the last
depth entered in the
surface equipment
section which is also the
same as the first depth
entered in the downhole
equipment section.
88. Specifying Equipment Data ─ Heat Capacities (Cp)
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Average Heat Capacities then click Edit
button.
You can click this
square to Edit the
data directly.
89. Specifying Equipment Data ─ Heat Capacities (Cp)
─ The average heat capacities of water, oil and gas are used in the Rough
Approximation temperature model to calculate the energy which is provided
when the fluid changes temperature.
─ Note that for oil, and especially gas that Heat Capacities (Cp) values are
strong functions of both temperature & pressure.
─ These are to be kept equal to the default values (0.51 BTU/lb/°F for gas, 0.53
BTU/lb/°F for oil & 1 BTU/lb/°F for water).
90. Specifying Equipment Data ─ Gauge Details
─ it can be also accessed by selecting System in the main menu → Equipment
(Tubing etc).
─ Select the checkbox beside the Gauge Details then click Edit button.
You can click this
square to Edit the
data directly.
91. Specifying Equipment Data ─ Gauge Details
─ It is possible to enter the depths of different gauges in the PROSPER file.
─ Up to 10 gauges can be added to a well in PROSPER:
─ If gauges are added, the pressure and temperature at the gauge depth will
be given as a reported additional result in any calculations being run such as
VLP are completed.
─ After updated with the gauge depths
data, then select Done to return to
the main 'Equipment Data' screen.
─ If there is no gauge depths data to
add, then leave it blank and select
Done to return to the main
'Equipment Data' screen.
92. Specifying Equipment Data ─ Equipment Summary
─ From the equipment input screen it is possible to see a summary of the
equipment by selecting the Summary button on the top right of the screen.
93. Specifying Equipment Data ─ Equipment Summary
─ This is the summary of the equipment.
Click this button to draw the downhole
equipment as shown in this figure
95. Inflow Performance (IPR)
─ Inflow Performance Relationship (IPR) defines the flow into the well
from the reservoir. Calculating an IPR results in a relationship between
the bottom hole pressure and the flow rate passing into the well.
─ The IPR section of PROSPER defines the inflow of the well and
therefore how productive the reservoir is.
─ There are over 20 IPR models available in PROSPER that can be
selected from the Reservoir Model screen. Each model is applicable to
a different situation or series of conditions.
─ The current reservoir properties such as reservoir pressure and
temperature, water cut and producing GOR can be entered in the
Reservoir Data section.
─ In this case, the PI reservoir model should be selected, which allows
the PI to be entered in the model data screen as shown in the next
slide.
─ The IPR main data input screen can be also accessed by selecting
System in the PROSPER main menu toolbar → Inflow Performance.
97. Inflow Performance (IPR)
1. Action Buttons: buttons which perform various actions such as 'Validate' the
input data, 'Calculate' an IPR and 'Plot' the results. The most important Action
Buttons in the screen are:
─ Validate button: checks that the data on the current child screen falls within
the validation ranges of each variable. If the data is not valid, the validation
dialogue will appear with diagnostic messages. If any data is missing, then this
is also highlighted.
─ Calculate: saves and validates all the data pertaining to the chosen models
(e.g., Darcy reservoir model and Enter Skin By Hand) then runs the correct
calculation routine if the data are valid. On successful completion of the
calculation the results are automatically plotted
─ Test Data: Allows to enter test data (rate vs Bottom Hole Pressure, a date
stamp and a comment) that will be then displayed in the IPR plot.
─ Sensitivity: Allows to perform sensitivities on the various parameters affecting
the IPR
─ Transfer Data: saves and validates all the current data before opening a
standard ‘File Save As’ dialogue that provides an opportunity to save the data
to file in MBAL input format (.MIP).
98. Inflow Performance (IPR)
2. Reservoir Model: in this area the main parts of the model are defined
including the IPR model, which (if any) skin models and sand control devices
are being used.
─ The 'model selection' part of the IPR input screen controls the choice of almost
all the tabbed dialogues that will be seen in the model data section.
─ There are four major selections done in this screen. These are:
o Selection of Reservoir Model: for each fluid various single well IPR
models available to be selected.
o Selection of Mechanical/Geometrical Skin Model: the user has the
option of entering the skin by hand or using one of the analytical models
to model the mechanical and geometric skin.
o Selection of Deviation / Partial Penetration Skin Model: there are
three skin models, and these become available if any analytical skin
model of mechanical / geometric skin calculation has been used.
o Enabling sand control devices and specifying the type.
─ If the fluid is a gas or a condensate the format of the screen is very similar;
only the reservoir and other model input selections vary for example, in gas
systems, we have CGR & WGR instead of GOR & WC.
99. Inflow Performance (IPR)
3. Reservoir Data: several general reservoir parameters such as pressure,
temperature, water cut and GOR are defined in this section.
─ In addition to that, there are two more buttons to work with:
o Compaction Permeability Reduction Model: this option can be set to
Yes or No. If set to Yes (it will be activated in the Model data section to
update the required data), the user must enter an initial reservoir
pressure, compressibility and compaction model exponent to model the
decrease in permeability due to compaction.
o Relative permeability: this option can be set to Yes or No in case of oils.
If set to Yes (it will be activated in the Model data section to update the
required data), the user has the option of defining a set of relative
permeability curves, which will be used to change productivity of the
system with changing water cut.
100. Inflow Performance (IPR)
4. Model Data: data specific to the selected reservoir IPR model, skin model,
Sand Control device along with the relative permeability (if enabled), viscosity
data (if Non-Newtonian) & compaction (if enabled) are defined in this section.
─ The tabs are colored according to the validity of the data on the corresponding
dialogues.
o If the tab is green, it is activated to load data for the current system setup.
o If it is red, then the data is invalid or empty.
o If the tab is grey, then this tab is not applicable to the current reservoir
model (or model selection) and so is inaccessible.
─ The tabs are labelled as follows:
o Reservoir Model
o Mech/Geom Skin
o Dev/PP Skin
o Gravel Pack
o Relative Perm
o Viscosity
o Compaction
101. Inflow Performance (IPR)
5. Results: the results of the IPR calculation are shown in table form and
graphical form.
─ The results include:
o A breakdown of the results in table form.
o A graph of FBHP and FBHT with temperature.
─ More detailed plotting can be obtained from the results menu.
102. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
─ About twenty inflow options are available.
─ The choice from these models depends upon the available information and the
type of sensitivities that you wish to run. If multi-rate test data is available, it
can be input so that the modeled inflow matches the actual measured inflow in
the well.
─ The average reservoir pressure and reservoir temperature must be entered for
all inflow performance models, however both the Multi-rate Fetkovich and
Multi-rate Jones models can be used to calculate the reservoir pressure. For
multi-layer reservoirs only the temperature is entered as reservoir pressure
has no meaning.
─ Mechanical/geometrical skin can be either entered or calculated using
Locke's, MacLeod's or Karakas and Tariq's method. Deviation/partial
penetration skins can be calculated separately, using the Cinco/Martin-Bronz
or Wong-Clifford approaches.
─ Relative permeability curves are optionally used together with fluid viscosities
(from PVT) to calculate the total fluid mobility for a given water cut. The
calculated IPR can be matched to measured data and used to calculate IPR
pressures for any rate and water cut. Relative permeability can be applied to
all oil IPR models in PROSPER.
103. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
─ The relative permeability for oil and water is a function of the reservoir water
saturation. If the relative permeability curves have been defined, the total
mobility (oil, water & gas) can be determined. This enables the producing
drawdown (IPR) to be calculated as a function of both W.C & production rate.
─ Correction for Vogel:
o This option is used If you want to take the effect of increasing gas
saturation into account.
o This option is available if you selected to use relative permeability curves
in the IPR section.
o If you select to use this option, then the relative permeability correction
described above are extended to include gas relative permeability curves.
o Selecting Correction for Vogel option will allow to enter test W.C &
GOR in the relative permeability section to calculate the estimated water
& gas saturations.
o If the relative permeability curves have been defined, the total mobility
(oil, water and gas) can be determined.
o This enables the producing drawdown (IPR) to be calculated as a function
of both water cut, producing GOR and production rate.
104. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
─ To select the IPR method click on the appropriate field in the reservoir model
list box.
─ Next, choose the desired mechanical/geometrical and deviation/partial
penetration skin models.
─ Depending on the reservoir model chosen it may not be possible to choose
certain skin model types (e.g., deviation/partial penetration models for
horizontal wells).
─ The technique you select will determine the IPR dialogues displayed in the
data input tabbed screens (Reservoir data screen & Model data screen).
─ You will only be shown the screens, options and fields necessary for your
selection.
105. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
─ Following is the list of methods available for the Inflow Performance in OIL.
o P.I. Entry
o Vogel
o Composite
o Darcy
o Fetkovich
o Multi rate Fetkovich
o Jones
o Multi rate Jones
o Transient
o Hydraulically Fractured Well
o Horizontal Well ( no flow boundaries)
o Horizontal Well ( constant pressure upper boundary)
o Multi Layer reservoir (up to 50 layers and 3 choices of layer model)
o External entry
o Horizontal Well with friction dP loss along the tubing
o Multi Layer model with pressure loss between layers
o SkinAide (due to ELF Aquitaine)
o Dual Porosity
o Horizontal Well with Transverse Vertical Fractures
o Thermally Induced Fracture
106. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
─ In addition to the below models for certain entries requirements.
o Skin models
o Sand Control Options
o Gas Coning Calculation
o Shape Factor Calculator
o Relative Permeability Model
In the following slides, I will explain these models
in brief to understand which one is the best to be
used for a certain analysis.
107. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
P.I. Entry
─ A straight-line inflow model is used above the bubble point based on the
equation below where (J) is the Productivity Index (P.I), expressed as
(STB/day)/psi.
─ The Vogel empirical solution is used below the bubble point, the test point
being the rate calculated using the above equation at bottom hole pressure
equal to bubble point.
─ The user input Productivity Index (P.I) is used to calculate the IPR.
─ The IPR rates are always Liquid Rates. Hence the PI refers to Liquid Rate.
108. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Vogel
─ The program uses the straight-line inflow relationship above the bubble point.
─ And use the below Vogel empirical solution below the bubble point.
─ Below the bubble point, a single flowing bottom hole pressure and surface test
rate is used to calculate the IPR.
─ From this IPR, the rate & bubble point pressure are used to evaluate the
Productivity Index (P.I) for the straight-line part of the inflow above the bubble
point.
─ When calculating IPR sensitivities for reservoir pressure, PROSPER retains
the correct well productivity. Otherwise, changing the reservoir pressure
changes the Vogel well productivity.
109. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Composite
─ This is an extension of the Vogel inflow solution (Petrobras method) that
accounts for water cut.
─ Vogel essentially decreases the inflow below bubble point because of gas
formation.
─ However, if the water cut is higher the inflow potential will increase and
approach a straight-line IPR due to single-phase flow.
─ A test flow rate, flowing bottom-hole pressure and water cut are required to be
entered.
110. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Darcy
─ The program uses the Darcy inflow equation above the bubble point and the
Vogel solution below the bubble point.
─ The Vogel solution is based upon the rate when the FBHP is equal to the
bubble point as calculated by the Darcy equation.
─ The required inputs are:
Reservoir permeability Effective phase permeability
Reservoir thickness
• Thickness of producing reservoir rock, i.e. the net pay.
• This is also the stratigraphic thickness of the reservoir
measured perpendicular to the base of the reservoir layer.
Drainage area Drainage area of the reservoir
DIETZ shape factor
Depends on the shape of the drainage area. Click the
Calculate Dietz button to specify your reservoir configuration
and estimate an appropriate Dietz Shape Factor
Wellbore radius Open hole well radius
─ If the effects of water cut are to be considered when calculating the PI, then
the Relative Permeability Curve options should be consulted.
111. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Darcy
─ Select DIETZ shape factor value from the list of reservoir descriptions below:
112. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Darcy
─ Dietz Shape Factor Calculation:
─ The calculation is based on the assumption that the reservoir is rectangular.
─ Enter the following distances
normalized against the reservoir
length or width (it is the relative
lengths that matter) then click
calculate button to update the
Dietz Shape Factor value.
Length (L) Reservoir Length
Width (W) Reservoir Width
Distance To
Side (d1)
Distance from well to
nearest edge
(widthways)
Distance To
End (d2)
Distance from well to
nearest end
(lengthways)
113. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Fetkovich
─ The Fetkovich equation shown below for oil is a modified form of the Darcy
equation, which allows for two phase flow below the bubble point.
─ Enter the same inputs as for the Darcy example plus the relative permeability
for oil. Skin can be entered either by hand or calculated using Locke's,
Macleod's or the Karakas and Tariq method.
─ Enter the following data:
Reservoir permeability Effective phase permeability
Reservoir thickness
• Thickness of producing reservoir rock, i.e. the net pay.
• This is also the stratigraphic thickness of the reservoir
measured perpendicular to the base of the reservoir layer.
Drainage area Drainage area of the reservoir
DIETZ shape factor
Depends on the shape of the drainage area. Click the
Calculate Dietz button to specify your reservoir configuration
and estimate an appropriate Dietz Shape Factor
Wellbore radius Open hole well radius
Relative Permeability Relative Permeability to Oil
114. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Multi-rate Fetkovich
─ This method uses a non-linear regression to fit the Fetkovich model for up to
10 test points.
─ The model is expressed as:
─ The fit values of (C) & (n) are posted on the IPR plot.
─ If the reservoir pressure is not available, the program will calculate it.
─ For producing wells, enter a reservoir pressure lower than the measured
flowing bottomhole pressures.
─ The program will dismiss the reservoir pressure that has been entered and
calculate it.
115. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Jones
─ The Jones equation shown below for oil is a modified form of the Darcy
equation, which allows for both Darcy & non-Darcy pressure drops.
─ Where (a) & (b) are calculated from reservoir properties or can be determined
from a multi-rate test.
─ The same data as for the Darcy model plus the perforated interval is required.
─ Skin can be directly entered or calculated using the available methods.
116. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Multi-rate Jones
─ This method uses a non-linear regression to fit for up to 10 test points for the
Jones model.
─ If the reservoir pressure is not available, the program will calculate it.
─ For producing wells, enter a reservoir pressure lower than the measured
flowing bottomhole pressures.
─ The program will dismiss the reservoir pressure that has been entered and
calculate it.
117. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Transient
─ The transient IPR equation is:
─ Where Time is the flowing time since the last reservoir pressure equalization
up to the time of the analysis.
─ The units used in the above transient IPR equation are oilfield units:
Q = stb/d P = psig μ = cp Bo = rb/stb
k = mD t = hours Ct = 1/psi h, rw = ft
118. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Transient
─ The Transient IPR model in PROSPER is designed to:
o Check whether the production is in the transient state or semi-steady
state.
o If it is in the transient state, then the IPR will be calculated using the
equation mentioned above.
o If the production has already reached the semi-steady state conditions,
then the IPR will be calculated using the semi-steady state inflow
equation
─ This IPR method considers the change of deliverability with time which can be
particularly important for tight reservoirs.
─ Both the Darcy & Jones equations assume that the well has reached pseudo-
steady state flow conditions.
─ In tight reservoirs, the transient equation can be used to determine the
inflow performance as a function of flowing time.
─ Once the flowing time is long enough for pseudo-steady state flow to develop
within the drainage radius, the Darcy inflow model is then used.
119. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Transient
─ Enter the following data:
Reservoir permeability Effective phase permeability
Reservoir thickness
• Thickness of producing reservoir rock, i.e. the net pay.
• This is also the stratigraphic thickness of the reservoir
measured perpendicular to the base of the reservoir
layer.
Drainage area Drainage area of the reservoir
Wellbore radius Open hole well radius
Porosity Average over producing section
Time Time in days, must be greater than 0.5 days
120. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Hydraulically Fractured Well
─ The hydraulically fractured well inflow model can be used to run sensitivities
on hydraulic fracture designs.
─ The model is transient and is particularly useful in determining the transient
deliverability of a well after stimulation.
─ Gravel packs can be combined with the hydraulically fractured well IPR to
model Frac-Packed wells.
─ The skin by hand is the 'Fracture Face Skin'. This can be set to zero if the
fracturing program predict that there will be no additional pressure drop in the
fracture.
─ If the fracturing program predict that there will be an additional pressure drop
then this skin value can be increased.
─ There cannot be a 'negative skin' associated with the 'fracture' as the fracture
is being explicitly modelled in this case. The analytical models such as
karakas-tariq are not applicable for the fracture skin and are hence not
available.
121. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Hydraulically Fractured Well
─ Enter the following data:
Reservoir permeability Effective phase permeability at prevailing water cut
Reservoir thickness
• Thickness of producing reservoir rock, i.e. the net pay.
• This is also the stratigraphic thickness of the reservoir
measured perpendicular to the base of the reservoir
layer.
Drainage area This is the drainage area from which the well is producing
Wellbore radius Open hole well radius
DIETZ shape factor Depends on the shape of the drainage area
Time
Enter the time since the last reservoir pressure
equalization up to the time of the analysis.
Fracture Height
The original model assumes that fracture height is equal
to that of the reservoir thickness, however, the fracture
height (Hf) is used in Gas Wells to compute the Non-
Darcy factor. The fracture height is therefore only used for
gas well and is not used for oil wells.
Fracture Half Length Half length of the fracture
122. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Hydraulically Fractured Well
─ Enter the following data:
Dimensionless
Fracture
Conductivity - FCD
It is a key design parameter in well stimulation that compares
the capacity of the fracture to transmit fluids down the
fracture and into the wellbore with the ability of the formation
to deliver fluid into the fracture.
It is defined as:
FCD: Fracture Conductivity
Kf: Fracture Permeability
bf: Fracture Width
Kr: Reservoir Permeability
Xf: Fracture Half Length
123. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - No Flow Boundaries
─ This steady-state inflow model is based on the work of Kuchuk and Goode.
124. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - No Flow Boundaries
─ It assumes that the horizontal well is draining a closed rectangular drainage
volume that is bounded by sealing surfaces.
─ The well can be placed anywhere within the drainage region.
─ The pressure drop along the wellbore itself is not considered and so this
model may not be suitable for long horizontal sections drilled in high
productivity reservoirs where high flow rates may lead to considerable
frictional pressure drops.
─ Instead, the MultiLayer dP Loss in Wellbore should be used in such cases.
125. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - No Flow Boundaries
─ Enter the following data:
Reservoir permeability Effective phase permeability at prevailing water cut
Reservoir thickness
• Thickness of producing reservoir rock, i.e. the net pay.
• This is also the stratigraphic thickness of the reservoir
measured perpendicular to the base of the reservoir
layer.
Wellbore radius Radius of the wellbore
Horizontal anisotropy
Ratio of Ky/Kx where Kx is permeability in the direction of
the horizontal well and Ky is the permeability
perpendicular to the horizontal well
Vertical anisotropy Ratio of Kz/Ky where Kz is the vertical permeability
Length of well Horizontal section
Length of drainage area Reservoir dimension parallel to well - Lx (see diagram)
Width of drainage area
Reservoir dimension perpendicular to well - Ly (see
diagram)
126. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - No Flow Boundaries
─ Enter the following data:
Distance along length
edge to center of well
Xw (see diagram)
Distance along width
edge to center of well
Yw (see diagram)
Distance from bottom
of reservoir to center of
well
Zw (see diagram)
127. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - Constant Pressure Upper Boundary
─ The reservoir geometry is the same as for the No Flow Boundaries case,
except for a constant pressure upper boundary.
─ This model is based on the work of Kuchuk and Goode.
─ The inflow model used here assumes that the horizontal well is draining a
rectangular drainage region with sealing lower and constant pressure upper
boundary.
─ The well can be placed anywhere in the drainage region.
─ Pressure drops along the well bore itself are not considered.
─ This model requires the same input data as the Horizontal Well - Bounded
Reservoir model.
128. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - Multi-Layer Inflow
─ It should first and foremost be noted that this model is a legacy model. It has
since been superseded by the Multilayer dP Loss in Wellbore model that is
consider cases where the zones are separated by significant depth or friction
pressure losses are significant,
─ Multi-layer inflow model allows up to 50 discrete reservoir layers to be entered.
─ Each layer can have different reservoir pressures, inflow models and fluid
properties.
─ Oil gravity, GOR & water cut may be entered differently for each layer.
─ The produced fluid properties in the wellbore are determined from the
summation of the individual layer contributions.
─ The summation accounts for cross flow between layers having different
pressures.
─ Each layer can be gravel packed if desired.
─ All reservoir pressures should be referenced to the same depth - the depth of
the solution node (the last node in the down-hole equipment).
129. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well - Multi-Layer Inflow
─ To use the Multi-Layer IPR, for each layer, select the inflow model from: Darcy,
Multi-rate Jones, or PI Entry methods then enter the layer PVT properties,
average pressures, thickness and skins.
─ For each layer, click the 'Layer Data' button and enter the information required
by the inflow model.
─ Note that:
─ The Multilayer IPR solves the combined contribution from each producing
layer at the intake node.
─ This effectively places each layer at the same depth.
─ The reservoir pressure entered for each layer should therefore be
referenced to the intake node depth.
Layer Model
For each layer, select the inflow model from: Jones or Multi-rate
Jones
Layer pressure Layer average pressure
Layer height Layer vertical thickness
Layer skin Skin
Layer Data
for each layer separate PVT and layer reservoir properties need
to be entered
130. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
External Entry
─ This option allows an externally generated IPR data set to be imported or
directly entered.
─ Up to five tables can be entered to allow sensitivities to be calculated on any
arbitrary set of variables.
─ For example, IPRs for a range of reservoir pressures calculated by a simulator
could be input using this option.
─ For more details referee to PROSPER manual & help guide.
131. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well Model With Friction DP Loss
─ To adequately model horizontal well inflow in high permeability reservoirs, it is
necessary to account for pressure loss along the horizontal section.
─ PROSPER divides the horizontal section into up to 20 sections, and a network
algorithm solves for zone production and well bore pressure.
─ Pressure loss between zones is accounted for.
─ The horizontal well models available are:
o Kuchuk and Goode (bounded and constant pressure boundary).
o Babu & Odeh.
o Goode / Wilkinson partial completion (bounded and constant pressure
boundary).
132. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well Model With Friction DP Loss
─ The reservoir parameters entered in the upper section of the screen determine
the overall well productivity using the selected model.
─ The zone parameters are used by the network algorithm to re-scale the overall
productivity zone by zone.
─ The model couples the reservoir inflow with the horizontal section of wellbore
from the heel to the toe.
─ The solution process is iterative and begins by establishing the flow potential
using the input parameters describing the overall well length and spatial
geometry along with vertical and horizontal anisotropy.
─ The reservoir permeability entered in the upper part of the screen is used to
initialize the calculation procedure.
─ It is recommended to start with a permeability value as high as the highest
permeability entered for the individual segments of the horizontal well, entered
in the bottom part of the screen.
133. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well Model With Friction DP Loss
─ This highest starting value should facilitate convergence of the model
calculations.
─ The model assumes pseudo-steady state flow conditions. Hence, transient
effects are not included.
─ In addition, the model is not designed to handle massive hydraulic fractures
perpendicular to the horizontal section (penny fracs) to be simulated with very
high negative skins.
─ Depending on the specific reservoir characteristics at hand, use high negative
skins per zone, the model can become unstable with meaningless results
─ Like the vertical well, use of high negative skins (<< -5) to simulate the pseudo-
steady flow for a successful frac job will cause calculation problems in Darcy's
radial flow model.
─ High negative skins change the flow regimes around the wellbore to the point
where the elliptical model becomes no longer applicable.
134. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well Model With Friction DP Loss
Reservoir Parameters:
Horizontal Well Model Model used for overall well productivity
Reservoir permeability Effective phase permeability at prevailing water cut
Reservoir thickness Thickness of producing reservoir rock h
Wellbore radius Radius of open hole rw
Horizontal anisotropy
Ratio of Ky/Kx where Kx is permeability in the direction
of the horizontal well and Ky is the permeability
perpendicular to the horizontal well
Vertical anisotropy Ratio of Kz/Ky where Kz is the vertical permeability
Length of well Horizontal section L
Length of drainage area Reservoir dimension parallel to well Lx
Width of drainage area Reservoir dimension perpendicular to well Ly
Distance from length
edge to Centre of well
Xw
Distance from width edge
to Centre of well
Yw
Distance from bottom of
reservoir to Centre of well
Zw
135. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Horizontal Well Model With Friction DP Loss
Zone Parameters:
─ Data for up to 20 zones can be entered. The required inputs are as follows.
Zone Type Blank, Perforated or Open Hole
Skin Method Enter by Hand, or Karakas & Tariq for perforated zones
Gravel Pack Yes or No
Zone Length Length of zone along the well
Zone Permeability Average permeability at the prevailing water cut
Flowing Radius Internal radius of well for calculation of friction pressure
Zone Roughness Roughness for zone friction calculation
136. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
MultiLayer dP Loss in Wellbore
─ This IPR is for modeling multilayer reservoirs where friction pressure losses
between layers can also be captured.
─ This is the recommended multilayer IPR model to use and supersedes the old
known "Multilayer Reservior" model.
─ PROSPER iterates until the production from each zone and the well pressures
converge at the solution rate.
─ The effect of pressure drop between zones and crossflow are accounted for.
─ The depth entered for TOP is depth for which the IPR is to be evaluated. This is
normally the same as the deepest depth entered in System | Equipment, but it
can be set to surface or other value.
137. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
MultiLayer dP Loss in Wellbore
─ The input data required are:
Layer Type Either Blank, Perforated or Open Hole
Measured Depth Measured depth of the bottom layer (n)
True Vertical Depth TVD of the bottom of layer (n)
Layer Pressure Pressure at bottom of layer (n)
Layer Flowing Radius Well radius for calculating layer friction dP
Layer IPR Model Select from Darcy, Multi-rate Jones, P.I. Entry
Layer Skin Model Enter by Hand or Karakas & Tariq
Layer Gravel Pack Yes or No
Layer PVT Data
CGR (dry gas) or GOR (retrograde condensate), Gas Gravity plus
WGR
Layer Parameters
Relevant parameters for the selected IPR model - further information
for the parameters can be found in respective IPR models
Layer Skin Relevant parameters for the selected IPR model
138. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
MultiLayer dP Loss in Wellbore
─ Note that:
o If a zero roughness is entered, then inter-layer pressure drops are not
computed. The layer pressures are then equivalent to a potential referred to
the depth of the TOP layer. The calculations are then equivalent to the
simpler Multi-Layer IPR (without dP) model.
o The layer flowing radius is the radius of the pipe connecting the layers i.e.,
0.5 x tubing I.D.
o The wellbore radius (rw) is the radius of the drill bit.
o The Gravel Pack sand control option is only available for the Multi-Layer dP
Loss in Wellbore IPR model.
139. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Injection Wells
─ Irrespective of the inflow model used, injection well IPR calculations are
complicated by the below several factors as compared to producers:
o The injected fluid temperature at the sandface is a function of surface
temperature, injection rate history and well configuration.
o Relative permeability of injected fluid is required and will change as more
fluid is injected and at different distances from the wellbore.
o Injectivity changes with time as the saturations around the well change.
o Injecting a cooler fluid into the reservoir will create a cooled region around
the well bore which will change the stresses.
o Fracturing (mechanical or thermally induced) often occurs because of
these changes in the stresses.
─ It is therefore normally best to use a numerical simulator such as REVEAL to
model the injection of fluids as these thermal and rock mechanical effects will
be considered.
─ If modelling a water injector in PROSPER, the best model to use will be the
Thermally Induced Fracture IPR model.
140. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Mechanical/Geometrical Skin.
─ If a reliable skin value is available from transient well testing, then this value
should be directly entered by selecting the "Enter by hand" option.
─ If a reliable skin value is NOT available, then PROSPER models (such as
Locke, McLeod and Karakas & Tariq models) can be used to estimate the
value of the skin pressure drop across the completion and the proportion of the
total pressure drop attributable to the various completion elements.
─ Locke's technique is valid for shots per foot of 1,2,4,6,8,10,12 & 16.
─ In addition, PROSPER provides 3 methods of estimating skin factor using input
parameters such as perforation geometry, depth of damage etc. But since the
required input parameters are often difficult to accurately define, therefore the
absolute value of the calculated skin cannot be precisely predicted.
─ The power of these techniques is their ability to assess the relative importance
of completion options on the overall value of well skin.
141. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Mechanical/Geometrical Skin.
─ Karakas & Tariq model give good results in many field applications.
─ The following input data is required:
Reservoir permeability Effective permeability at connate water saturation
Perforation diameter Entry hole diameter
Shots per foot Shot density
Perforation length Effective perf. length in formation
Damaged zone thickness Thickness of invasion
Damaged zone permeability Permeability in invaded zone
Crushed zone thickness Crushing associated with perforation
Crushed zone permeability Reduced permeability near perf. tunnel
Wellbore radius Enter the open hole radius, not casing I.D.
142. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Perforation parameters modelling.
─ The two parameters Perforation diameter and Perforation Length can be
entered by the user or calculated by using the API RP43 perforation calculation.
─ A sketch outlining the main geometric variables is shown below.
143. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Deviation/Partial Penetration Skin.
─ Two models of this type are provided in PROSPER which are Cinco/Martin-
Bronz model & Wong-Clifford model.
─ Cinco/Martin-Bronz model requires the following data:
o Deviation angle of well
o Partial penetration fraction
o Formation vertical permeability
─ Penetration is the proportion of the completed reservoir thickness to the total
reservoir thickness. (e.g., a 200 ft thick reservoir with 100 ft of perforations
would have a Penetration of 0.5).
─ Deviation skin is calculated using Cinco-Ley's method and is therefore valid up
to 75 degrees deviation.
144. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Deviation/Partial Penetration Skin.
─ Wong-Clifford model can compute a skin for multiple completions.
─ This model does not have a separate calculation for the deviation & partial
penetration skin - it is a point source solution that calculates a skin that
combines all the skin effects in one value.
─ This total skin is placed in the Deviation skin column and the partial penetration
skin is set to zero.
─ This model requires the following data:
─ Reservoir parameters:
─ Formation vertical thickness
─ Well-bore radius
─ Drainage area
─ Dietz shape factor
─ Formation vertical permeability ratio
─ Local vertical permeability ratio
─ Horizontal distance from well to reservoir edge
─ Depth of top of reservoir
─ Completion parameters for each completion to set completion start & end
depths (both measured & TVD).
145. Inflow Performance (IPR) ─ IPR Reservoir Models for Oil & Water Wells
Skin Models
Plotting Skin Pressure Drop.
─ Enter the requested data and click on Calculate to display an IPR plot.
─ The plot shows the pressure drop resulting from the total skin as well a
breakdown of the individual factors contributing to the total skin as per the
following example.
─ This plot is useful to
assess the efficiency of a
particular perforating
program by allowing the
user to instantly assess
the completion pressure
loss resulting from
different perforation
options.
146. Inflow Performance (IPR) ─ Model Data
4. Model Data: data specific to the selected reservoir IPR model, skin model,
Sand Control device along with the relative permeability (if enabled), viscosity
data (if Non-Newtonian) & compaction (if enabled) are defined in this section.
─ The tabs are colored according to the validity of the data on the corresponding
dialogues.
o If the tab is green, it is activated to load data for the current system setup.
o If it is red, then the data is invalid or empty.
o If the tab is grey, then this tab is not applicable to the current reservoir
model (or model selection) and so is inaccessible.
─ The tabs are labelled as follows:
o Reservoir Model
o Mech/Geom Skin
o Dev/PP Skin
o Gravel Pack
o Relative Perm
o Viscosity
o Compaction
147. Inflow Performance (IPR) ─ Model Data
─ When the PI Entry (test based) IPR model is selected, analytical skin models
(Mech-Geom Skin & Dev-PP Skin screens) are not available.
─ In this case the entered PI is determined with the available field data, so the
analytical skin models are not applicable.
If Yes is selected in the drop menus beside
the relative permeability & Compaction
permeability model screens, then their
corresponding screens will be activated in
the Model data section
These screens within the IPR
Section will become available
depending on the selected
reservoir model.
148. Inflow Performance (IPR) ─ Model Data
─ Note that this reservoir pressure is @ the tubing end (9000 ft) which is by
default is the top of perforations as defined in PROSPER.
─ This pressure is different than the extrapolated pressure value to rate = (0) in
rate vs. BHFP plot IF the gauge was hanged away from the tubing end (top of
perforations) due to gradient difference (in this example gauge depth is 6250 ft).
0
500
1000
1500
2000
2500
3000
0 5000 10000 15000 20000
BHFP,
psi
Liquid rate, b/d
This is the extrapolated
static pressure value @
flow rate = (0)
This is BHFP data
@ the gauge depth
of 6250 ft
149. ─ Just remember that from the IPR input data for the gauge input information.
─ And from the downhole equipment input data that.
Inflow Performance (IPR) ─ Model Data
150. Inflow Performance (IPR) ─ Model Data
─ if a property based IPR model such as Darcy model is selected, then it will be
possible to select different analytical skin models since the productivity of a well
is determined based upon the properties of the reservoir, well completion and
fluid.
─ If relative permeability effects are not to be considered, then select No in the
Relative Permeability option
─ To use relative permeability, select Yes.
─ Viscosity tab within the IPR section is only activated when the Non-
Newtonian Fluid option is selected for the Viscosity model via PROPSER
main menu → Options → Options.
─ If a Newtonian Fluid is under analysis, please note that the viscosity of the
fluid is found using the inputs in the PVT section.
─ The Sand Control screen can be activated either by selecting the required
method at the bottom left of the IPR section or via PROPSER main menu →
Options → Options → Sand Control.
151. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ Relative permeability curves are optionally used together with fluid viscosities
(from PVT) to calculate the total fluid mobility for a given water cut.
─ The calculated IPR can be matched to measured data and used to calculate
IPR pressures for any rate and water cut.
─ If you have selected the Correction for Vogel option on the main IPR screen,
then the modelling is extended to include Gas Relative Permeability Curves.
─ The calculated IPR can be matched to measured data and used to calculate
IPR pressures for any rate, water cut & GOR
─ Oil & water relative permeabilities are function of the reservoir water saturation.
─ If the relative permeability curves have been defined, the total mobility (oil,
water and gas) can be determined.
─ This enables the producing drawdown (IPR) to be calculated as a function of
both water cut and production rate.
─ When relative permeability option is being used, water cuts for both the test
data and that was used to calculate the IPR curve are required.
152. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ The water cut during test value will be carried over from the relative
permeability input screen.
─ The water cut for calculation value can be subsequently changed to see the
effect on the calculated IPR.
─ The same will apply for GOR if the Correction for Vogel option is selected.
153. Inflow Performance (IPR) ─ Model Data
Relative Permeability Calculation Details ─ Oil and Water Only
─ For oil wells, the effects of changing relative permeability on the IPR can be
considered.
─ From the model selection screen, select a suitable IPR method then enter the
reservoir temperature and pressure.
─ If relative permeability effects are not to be considered, then select No in the
Relative Permeability option
─ To use relative permeability, select Yes. In this case, the PI will be corrected by
multiplying the ratio of the liquid mobilities.
─ The liquid mobility is dependent on the water cut.
─ Given the relative permeability curves, they can be used together with fluid
viscosity (calculated from the fluid's PVT) to calculate the total fluid mobility at
different water cut.
─ The test water cut & the test reservoir pressure are used to determine the
phase saturations and viscosity at the original PI.
154. Inflow Performance (IPR) ─ Model Data
Relative Permeability Calculation Details ─ Oil and Water Only
─ With the use of relative permeability curves, the liquid mobility at the test
(reference point) can be calculated from:
μt = Kro/(μoBo) + Krw/(μwBw)
─ Water saturation can always be estimated based on the relative permeability
curve and the water cut entered.
─ At a particular reservoir pressure & water cut, mobility (μ) can be calculated.
─ As we said earlier that the (P.I) will be corrected by multiplying the ratio of the
liquid mobilities by the initial productivity index (P.I)i
─ The corrected productivity index will be:
P.I = (P.I)i * μ/μt
─ This value of corrected (P.I) will be used to generate the IPR.
─ In the above method we do not consider the reduction in oil mobility due to any
increase in the gas saturation. When calculating the (Sw) & (So) for a particular
water fraction (Fw) calculation, we set (Sg = 0).
155. Inflow Performance (IPR) ─ Model Data
Relative Permeability Calculation Details ─ Oil, Water & Gas
─ If you want to take the effect of increasing gas saturation into account, then
select the Correct Vogel for GOR option.
─ You will also be required to enter a Test GOR - this is a produced GOR.
─ The process will now be as follows:
o Use the test water cut, test GOR & the PVT model to calculate both
downhole water fractional flow (Fw) & gas fractional flows (Fg).
o Calculate gas, water & oil saturations that satisfy the fractional flows (Fw),
(Fg) & the saturation equation (So + Sw + Sg = 1).
o Calculate the relative oil & water permeabilities using the relative
permeability curves and the oil, gas & water saturations.
o Calculate a test mobility from:
μt = Kro/(μoBo) + Krw/(μwBw)
─ Water & oil viscosities are calculated from the test reservoir pressures and the
PVT.
156. Inflow Performance (IPR) ─ Model Data
Relative Permeability Calculation Details ─ Oil, Water & Gas
─ Whenever an IPR calculation is done:
o Calculate the PVT properties using the current reservoir pressure and the
PVT model.
o Calculate the downhole fractional flows (Fw) & (Fg) from the current water
cut & produced GOR.
o Calculate gas, water & oil saturations that satisfy the fractional flows (Fw),
(Fg) & the saturation equation (So + Sw + Sg = 1).
o Get the relative permeabilities for oil & water from the relative permeability
curves and the oil, gas & water saturations.
o Calculate the current mobility (μ) as shown above.
o Modify the PI using:
P.I = (P.I)i * μ/μt
157. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ Relative Permeability data input section is under main IPR screen, just go to
PROSPER main menu toolbar → System → Inflow Performance.
158. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ Select Yes from the dropdown menu beside the Relative Permeability.
Once Yes is selected for Relative Permeability,
Correction for Vogel option will appear then select Yes.
This will allow to enter test W.C & GOR in the relative
permeability section to calculate the estimated water &
gas saturations.
Once Yes is selected for Relative
Permeability, it will be activated in
the Model data section to load the
relative permeability data.
159. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ After selecting the relative permeability option, this screen will be displayed.
─ Then go to Relative Permeability tab dialogue in the Model Data input screen
to load the required data.
Program will calculate these
two parameters automatically
once update the test water
cut & GOR data
160. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ Enter the following data for both oil and water (and optionally gas).
Residual Saturation
Parameter indicating the minimum saturation above
which the related phase becomes mobile.
Endpoint Relative
Permeability
Maximum relative permeability.
Corey Exponent
Parameter defining the slope of the relative
permeability curve. Generally, Corey exponent of:
• (1) defines straight line relative permeability
curves.
• Greater than (1) give a concave upwards
relative permeability curve i.e., delayed water
breakthrough.
• Less than (1) define a concave downwards
relative permeability curve i.e., early water
breakthrough.
161. Inflow Performance (IPR) ─ Model Data
Relative Permeability
─ Enter the following data for both oil and water (and optionally gas).
Water cut during test
Matching measured and calculated IPR pressures
establishes the well productivity for the prevailing
water cut.
To allow PROSPER to re-calculate the IPR for other
water cuts, the water cut during test value is used to
determine the reference water saturation for the test
conditions.
GOR during test (optional)
Matching measured and calculated IPR pressures
establishes the well productivity for the prevailing
GOR.
To allow PROSPER to re-calculate the IPR for other
GORs, the GOR during test value is used to
determine the reference gas saturation for the test
conditions.
162. Inflow Performance (IPR) ─ Model Data
Non-Newtonian Viscosity - Modelling
─ This screen is activated ONLY when the fluid option non-Newtonian fluid is
selected in the PROSPER main screen → Options → Options.
If you want to change
the viscosity Model to be
Non-Newtonian fluid.
163. Inflow Performance (IPR) ─ Model Data
Non-Newtonian Viscosity - Modelling
─ This is the activated viscosity screen under the IPR Model Data section if the
viscosity Model was selected in the PROSPER main screen → Options →
Options to be Non-Newtonian fluid.
─ In our example here, we will continue with Newtonian fluid.
164. Inflow Performance (IPR) ─ Model Data
Non-Newtonian Viscosity - Modelling
─ Enter the required parameters below in the viscosity screen.
Wellbore radius Radius of the hole, corresponding to the drill bit size
Drainage Area Area of the drainage region
Reservoir Thickness Vertical thickness of producing interval
Reservoir porosity Fraction
Connate Water Saturation Fraction
─ These parameters are used to determine an equivalent flowing radius that will
be used by the program to estimate the pressure drop due to the friction in the
reservoir.
─ The dP friction will consider the fluid apparent viscosity (which is velocity -
dependent) calculated by the non-Newtonian viscosity model.
165. Inflow Performance (IPR) ─ Model Data
Compaction Permeability Reduction
─ Compaction Permeability Reduction option is an analytical model to estimate
the change of reservoir permeability due to reservoir compaction effects.
─ This option can be enabled in the main IPR section.
166. Inflow Performance (IPR) ─ Model Data
Compaction Permeability Reduction
─ The correction is carried out by means of a correction factor that will be then
applied to the permeability.
Corr. = (1 – Cf * (Pri – Pr))N
Where:
Corr.: Permeability Correction Factor (Multiplier)
Cf : Rock Compressibility
Pr : Current Reservoir Pressure
Pri : Initial Reservoir Pressure
N : Compaction Model Exponent
167. Inflow Performance (IPR) ─ Model Data
Compaction Permeability Reduction
─ Enabling the option will activate a new TAB screen in the 'Model Data' section
where the below basic model inputs are required.
Initial Reservoir Pressure Initial reservoir pressure
Reservoir Compressibility Reservoir Rock Compressibility
Compaction Model Exponent Exponent (see definition above)
168. Inflow Performance (IPR)
─ Just remember that the IPR main data input screen can be also accessed by
go to PROSPER main menu toolbar → System → Inflow Performance.
If Yes is selected in the drop menus beside
the relative permeability & Compaction
permeability model screens, then their
corresponding screens will be activated in
the Model data section
These screens within the IPR
Section will become available
depending on the selected
reservoir model.
169. Inflow Performance (IPR)
─ Now load the test data (liquid rate & BHFP) just click the Test Data button.
170. Inflow Performance (IPR)
─ This screen will be displayed that enable to enter real flow test data & bottom
hole flowing pressure data (liquid rate & BHFP).
Note that the gauge was hanged @ depth
6250 ft while tubing end is @ depth 9000 ft
171. Inflow Performance (IPR)
─ This real test data (enabled rows only) will be output against the calculated
values on the IPR plot (if selected) and the SYSTEM plot.
─ This data is separate from the Test Data entered as part of a Multi Rate IPR
model.
─ Note that this bottom hole flowing pressure data is measured @ gauge depth
@ depth 6250 ft while the tubing end as defined in the downhole equipment
section is @ depth 9000 ft which is by default is the top of perforations depth
as defined in PROSPER.
─ The reservoir pressure is set @ the tubing end (top of perforation) not @ this
gauge depth so the reservoir pressure will be different than the extrapolated
pressure value to rate = (0) in rate vs. BHFP plot IF the gauge was hanged
away from the tubing end (top of perforations) due to gradient difference (in
this example gauge depth is 6250 ft).
─ Up to 100 points can be entered.
172. Inflow Performance (IPR)
0
500
1000
1500
2000
2500
3000
0 5000 10000 15000 20000
BHFP,
psi
Liquid rate, b/d
This is the extrapolated
static pressure value @
flow rate = (0)
This is BHFP data
@ the gauge depth
of 6250 ft
─ Note that this reservoir pressure is @ the tubing end (9000 ft) which is by
default is the top of perforations as defined in PROSPER.
─ This pressure is different than the extrapolated pressure value to rate = (0) in
rate vs. BHFP plot IF the gauge was hanged away from the tubing end (top of
perforations) due to gradient difference (in this example gauge depth is 6250 ft).
173. Inflow Performance (IPR)
─ Just remember that from the IPR input data for the gauge input information.
─ And from the downhole equipment input data that.
174. Inflow Performance (IPR)
─ This is the explanation of the different buttons in this screen.
Done Save the data and return to the previous screen
Cancel Abandon any changes and return to the previous screen
Import
Import Data using the General-Purpose Import Tool
(particular text file such as ASCII files)
Export Export data to a variety of locations
Report Produce a report to the Printer or .RTF file
Enable Enable selected rows
Disable Disable selected rows
Help View this Help Screen
175. Inflow Performance (IPR)
─ When the required data has been inserted, then click Validate button to ensure
that all the required data have been loaded and all are in reasonable range.
─ If everything is OK, then you will receive the message below.