The document discusses the spontaneous potential (SP) well log. It describes how the SP log can be used to identify permeable zones, define bed boundaries, and compute shale content. It provides examples of calculating shale volume from the SP response. The document also discusses determining formation water resistivity from the SP log using both the classical method and the Silva-Bassiouni method. Additional topics covered include factors affecting the SP response, passive log correlation, zonation, and limitations of the SP log.
The document provides an overview of spontaneous potential (SP) logging. It discusses that SP logging measures natural electrical potentials between the borehole and surface. Positive deflections indicate fresher formation water than mud filtrate, while negative deflections mean saltier formation water. SP can be used to determine formation water resistivity and estimate shale volume. Key applications include detecting permeable zones, correlating formations, and determining facies.
1. The document discusses spontaneous potential (SP) logging, which measures the electrical potential difference between a downhole electrode and a surface reference electrode. SP logs can be used both qualitatively to detect permeable beds and quantitatively to determine formation water resistivity and shale volume.
2. The key factors that affect the SP response are the ratio between mud filtrate resistivity (Rmf) and formation water resistivity (Rw), as well as bed thickness, resistivity, and porosity. Positive deflections occur when Rmf > Rw and negative deflections when Rmf < Rw. No deflection occurs when Rmf = Rw.
3. Examples are given of how to calculate shale
This document discusses spontaneous potential (SP) logs. It explains that SP logs measure natural electrical potentials that occur between borehole fluids and formations. The potentials are caused by differences in salinity between drilling mud and formation waters. SP logs can detect permeable zones, boundaries, and determine water resistivity. The main components of SP are the membrane potential, caused by shale acting as an ion sieve, and the liquid junction potential, caused by ion diffusion between fluids of different salinities. Together these make up the total electrochemical potential measured on SP logs.
This document provides information about petrophysics and the Archie equation. It discusses the role of the petrophysicist in integrating data to characterize reservoirs. The Archie equation is introduced as a common method to determine water saturation in clean reservoirs. The document extracts the Archie equation terms and describes how to determine the parameters from well logs, including porosity, water resistivity, and cementation exponent. Methods for calculating porosity from density, sonic, and neutron logs are also presented.
The document discusses petrophysical data analysis and well logging. It provides details on recommended logging programs, including resistivity, microresistivity, dipmeter, porosity and lithology logs. It describes petrophysical data processing steps like gathering data, calibrating parameters, calculating log analysis, and presenting results. The goal is to obtain porosity, saturation and other reservoir property measurements from well logs and core data.
This document discusses resistivity logs and how they are used to analyze borehole formations. Resistivity is measured in ohms per meter and depends on factors like water volume, temperature, and salinity. Resistivity logs can determine hydrocarbon versus water-bearing zones and indicate permeable zones. The Archie equation relates resistivity to water saturation and uses constants determined by rock type. Different resistivity tools like electrode and induction logs measure resistivity at varying depths around the borehole to analyze fluid content and identify zones.
1. The document discusses various well logging tools and concepts used in petrophysical interpretation. It describes tools such as the spontaneous potential (SP) log, gamma ray (GR) log, resistivity logs including induction and lateral logs, and porosity logs.
2. Key concepts covered include the logging environment and factors that impact tool measurements like borehole conditions and mud properties. Interpretation techniques for evaluating permeable zones, formation resistivity, water saturation, and porosity are also summarized.
3. The document provides examples of using tools and concepts like the Archie formula to calculate water resistivity, determine hydrocarbon presence, and evaluate clean versus shaly formations. It also discusses corrections that must be applied to well log
This document provides guidance for a quick log analysis by a petrophysicist. It outlines the key sections to include such as well summary, regional geology, strathigraphy, hydrocarbon and pressure analyses. For each test or analysis, it recommends displaying the relevant well logs and providing interpretations to justify conclusions. It also provides examples of how to summarize key information like hydrocarbon shows, test profiles, and pressure analyses. Pressure data can be used to determine reservoir fluid contacts while sonic logs can identify regional overpressure zones. Drilling data is discussed though noted to be more relevant for drilling engineers than geologists.
The document provides an overview of spontaneous potential (SP) logging. It discusses that SP logging measures natural electrical potentials between the borehole and surface. Positive deflections indicate fresher formation water than mud filtrate, while negative deflections mean saltier formation water. SP can be used to determine formation water resistivity and estimate shale volume. Key applications include detecting permeable zones, correlating formations, and determining facies.
1. The document discusses spontaneous potential (SP) logging, which measures the electrical potential difference between a downhole electrode and a surface reference electrode. SP logs can be used both qualitatively to detect permeable beds and quantitatively to determine formation water resistivity and shale volume.
2. The key factors that affect the SP response are the ratio between mud filtrate resistivity (Rmf) and formation water resistivity (Rw), as well as bed thickness, resistivity, and porosity. Positive deflections occur when Rmf > Rw and negative deflections when Rmf < Rw. No deflection occurs when Rmf = Rw.
3. Examples are given of how to calculate shale
This document discusses spontaneous potential (SP) logs. It explains that SP logs measure natural electrical potentials that occur between borehole fluids and formations. The potentials are caused by differences in salinity between drilling mud and formation waters. SP logs can detect permeable zones, boundaries, and determine water resistivity. The main components of SP are the membrane potential, caused by shale acting as an ion sieve, and the liquid junction potential, caused by ion diffusion between fluids of different salinities. Together these make up the total electrochemical potential measured on SP logs.
This document provides information about petrophysics and the Archie equation. It discusses the role of the petrophysicist in integrating data to characterize reservoirs. The Archie equation is introduced as a common method to determine water saturation in clean reservoirs. The document extracts the Archie equation terms and describes how to determine the parameters from well logs, including porosity, water resistivity, and cementation exponent. Methods for calculating porosity from density, sonic, and neutron logs are also presented.
The document discusses petrophysical data analysis and well logging. It provides details on recommended logging programs, including resistivity, microresistivity, dipmeter, porosity and lithology logs. It describes petrophysical data processing steps like gathering data, calibrating parameters, calculating log analysis, and presenting results. The goal is to obtain porosity, saturation and other reservoir property measurements from well logs and core data.
This document discusses resistivity logs and how they are used to analyze borehole formations. Resistivity is measured in ohms per meter and depends on factors like water volume, temperature, and salinity. Resistivity logs can determine hydrocarbon versus water-bearing zones and indicate permeable zones. The Archie equation relates resistivity to water saturation and uses constants determined by rock type. Different resistivity tools like electrode and induction logs measure resistivity at varying depths around the borehole to analyze fluid content and identify zones.
1. The document discusses various well logging tools and concepts used in petrophysical interpretation. It describes tools such as the spontaneous potential (SP) log, gamma ray (GR) log, resistivity logs including induction and lateral logs, and porosity logs.
2. Key concepts covered include the logging environment and factors that impact tool measurements like borehole conditions and mud properties. Interpretation techniques for evaluating permeable zones, formation resistivity, water saturation, and porosity are also summarized.
3. The document provides examples of using tools and concepts like the Archie formula to calculate water resistivity, determine hydrocarbon presence, and evaluate clean versus shaly formations. It also discusses corrections that must be applied to well log
This document provides guidance for a quick log analysis by a petrophysicist. It outlines the key sections to include such as well summary, regional geology, strathigraphy, hydrocarbon and pressure analyses. For each test or analysis, it recommends displaying the relevant well logs and providing interpretations to justify conclusions. It also provides examples of how to summarize key information like hydrocarbon shows, test profiles, and pressure analyses. Pressure data can be used to determine reservoir fluid contacts while sonic logs can identify regional overpressure zones. Drilling data is discussed though noted to be more relevant for drilling engineers than geologists.
The document provides information about resistivity logs including:
1. It discusses factors that affect resistivity like salinity, porosity, lithology, and clay content. It also explains the principles and theoretical considerations of resistivity logs.
2. It describes different resistivity tools like focused devices (Laterolog, Dual Laterolog, Spherically Focused Log) and unfocused devices (Normal Log, Lateral Log). It also discusses micro-resistivity devices.
3. The document discusses log characteristics including depth of investigation, bed resolution, and different scales used in resistivity logs. It explains how resistivity logs can be used for lithology identification, correlation, and permeability determination.
Here are the steps to solve these problems:
1) T at 5000 ft depth = Ts + αD
= 75 + 1.5(5000/100)
= 75 + 75
= 150 F
2) Geothermal gradient = (T2 - T1)/D2 - D1)
= (122 - 80)/2200
= 1.5 °F/100ft
So the geothermal gradient of the sandstone layer is 1.5 °F/100ft.
This document summarizes the spontaneous potential (SP) log. It discusses how SP works by measuring the natural potential difference between a downhole electrode and surface reference electrode. SP response is caused by salinity differences between borehole fluid and formation water. The document outlines the various SP potentials, how the tool works, factors affecting response, and applications for formation evaluation and correlation. SP provides a qualitative indicator of permeability but is not quantitative.
WELL LOG : Types of Logs, The Bore Hole Image, Interpreting Geophysical Well Logs, applications, Production logs, Well Log Classification and Cataloging
The resistivity log measures the ability of rock formations to conduct electricity. Higher resistivity indicates water-bearing zones while lower resistivity corresponds to hydrocarbon-bearing zones. Resistivity is dependent on factors like porosity, fluid salinity, and lithology. Resistivity logs are used to identify hydrocarbon zones, permeable layers, and estimate porosity. Log interpretation provides values for parameters like porosity, water saturation, and lithology which can then be used to calculate reserves and map reservoir characteristics.
This document provides an overview of well log interpretation. It discusses how well logs are used to answer key questions about hydrocarbon-bearing formations like location, quantity, and producibility. The interpretation process involves identifying permeable zones using logs like SP and GR, then using resistivity and porosity logs to locate zones with hydrocarbons. Formations are further evaluated to determine porosity, fluid saturations, and other properties through techniques like density-neutron crossplots, environmental corrections, and determining formation temperature based on geothermal gradient. The goal is to locate potential producing zones and estimate hydrocarbon quantities and recoverability.
The reservoir (rock porosity and permeability)salahudintanoli
Reservoir rock is the one of the important component in petroleum system i.e without it petroleum system is impossible. This presentation contain all necessary information regarding reservoir rock.
well logging tools and exercise_dileep p allavarapuknigh7
Logging is a process that provides comprehensive formation information through continuously recording parameter measurements with depth. It plays an important role in exploration and production by obtaining resistivity, porosity, and lithology logs to identify hydrocarbon-bearing zones. Different disciplines like drilling, logging, core analysis, and reservoir modeling are interrelated and provide both open and cased hole data. Logs are interpreted to calculate parameters like water saturation, hydrocarbon saturation, and effective porosity, with the goal of determining hydrocarbon saturation multiplied by effective porosity in reservoir units. Accurate interpretation requires integration of log data with core analysis and rock physics studies.
This document discusses caliper logs, which measure the size and shape of a borehole. It describes different types of caliper tools, including multi-finger, dual caliper, and ultrasonic caliper tools. The document explains that caliper logs provide information about borehole shape and volume, mud cake buildup, lithology, and cement volume. More arms on a caliper tool provide more accurate measurements of borehole cross-section and shape. Caliper logs are often run with acoustic or neutron-density logs.
The document discusses the basics of well logging design. It includes an agenda for a one-day course that covers basic logging theory, interpretation, logging program design, and a workshop. The objectives are to familiarize participants with various log measurements, well evaluation strategies, and approaches to well logging design. Key logging topics covered include definitions, history, measurement principles for resistivity, spontaneous potential, gamma ray, density, neutron, and acoustic logs. Interpretation applications and limitations are also discussed.
The document provides an overview of density logging, which measures rock bulk density along a wellbore. It defines density logging, describes the tool and principles behind it, and discusses how density logs can be used to evaluate porosity, lithology, shale compaction, and other geological features. Key applications include porosity calculation, lithology identification when combined with neutron logs, detecting unconformities from changes in shale compaction trends, and identifying lithologies like coal or pyrite from their characteristically low or high densities.
Well logs can be states as “a recording against depth of any of the characteristics of the rock formations traversed by a measuring apparatus in the well-bore.”
This document discusses concepts related to well logging. It covers topics like borehole environment, fluid distribution around wells, invasion ratios for different porosity rocks, flushed and uninvaded zones, depth of investigation, formation resistivity, invasion and resistivity profiles, and provides examples of dual laterolog and induction logs through water-bearing and hydrocarbon-bearing zones. The document contains definitions of important parameters and concepts used in well logging and provides explanations for calculating invasion diameters and interpreting well log curves.
Types of sonic logging tools are explained briefly with help of animation and what are the application of these tools in determining the formation properties.
The document provides information about well logging techniques. It discusses how the borehole and surrounding rock can be invaded by drilling mud, affecting measurements. It describes the invaded zone and different resistivity measurements that can be taken. It then discusses various well logging tools - gamma ray, spontaneous potential, resistivity, density, neutron, and sonic logs - and how they are used to evaluate properties like lithology, porosity, fluid content, and hydrocarbon saturation.
The document discusses the uses of caliper logs for lithological assessment, calculating mud cake thickness, measuring borehole volume, determining required cement volume, assessing hole quality, selecting formations for testing, and providing contributory information for composite log interpretation and volumetric calculations. The caliper log directly measures borehole size and is used to correct other well logs for borehole conditions and ensure reliable data.
Oslo university basic well log analysis introductionJavier Espinoza
The document provides an overview of basic well log analysis methods used to derive petrophysical properties for hydrocarbon exploration. It discusses the borehole environment, including invasion of drilling mud into formations. It also covers open and cased hole logs, the three main types of logs (electrical, nuclear, acoustic), and how logs are used to infer properties like lithology, porosity, permeability, water saturation, and resistivity. Key concepts discussed include Archie's law, borehole resistivity profiles, and correcting mud and water resistivities for formation temperature.
This document provides an overview of formation evaluation techniques used in petroleum exploration and development. It discusses various logging methods like mud logging, coring, open-hole logging using electrical, nuclear and acoustic tools, logging while drilling, formation testing including wireline formation testing and drill stem testing, and cased-hole logging techniques. The goal of formation evaluation is to detect and quantify oil and gas reserves using measurements taken inside the wellbore and interpret physical properties of rocks and contained fluids.
This document discusses principles of well logging. It describes how well logging aims to evaluate subsurface hydrocarbon accumulations through measuring properties in boreholes. It outlines different types of hydrocarbon traps and elements in a petroleum system. It then explains what a well log is and different types of logs used, including gamma ray, resistivity, sonic, and neutron logs. Gamma ray logs specifically measure natural radioactivity to distinguish between lithologies like sandstone and shale. The document provides details on interpreting gamma ray logs and calculating shale volume from gamma ray readings.
The document discusses self potential (SP) logs, which measure electrical potential differences between points on the ground caused by natural subsurface currents. SP logs have three main conditions: porous and permeable reservoirs bounded by impermeable layers, two different fluid types (e.g. oil, gas, brine), and differences in salinity between fluids. SP logs can be used to find oil and gas reservoirs, determine shale volumes, and understand aquifer levels. They work by detecting potential differences between shales and reservoirs using electrodes during drilling.
1) The document discusses formation evaluation techniques based on well logging data to determine reservoir properties.
2) Quick qualitative log analysis can indicate reservoir rock type, hydrocarbon presence, and fluid type. Quantitative deterministic analysis estimates properties like porosity, saturation, and reserves.
3) Key logs measure resistivity, gamma radiation, density, and sonic velocity. Petrophysical models integrate logs to interpret lithology, fluid contacts, and hydrocarbon volumes.
The spontaneous potential log, commonly called the self potential log or SP log, is a passive measurement taken by oil industry well loggers to characterise rock
The document provides information about resistivity logs including:
1. It discusses factors that affect resistivity like salinity, porosity, lithology, and clay content. It also explains the principles and theoretical considerations of resistivity logs.
2. It describes different resistivity tools like focused devices (Laterolog, Dual Laterolog, Spherically Focused Log) and unfocused devices (Normal Log, Lateral Log). It also discusses micro-resistivity devices.
3. The document discusses log characteristics including depth of investigation, bed resolution, and different scales used in resistivity logs. It explains how resistivity logs can be used for lithology identification, correlation, and permeability determination.
Here are the steps to solve these problems:
1) T at 5000 ft depth = Ts + αD
= 75 + 1.5(5000/100)
= 75 + 75
= 150 F
2) Geothermal gradient = (T2 - T1)/D2 - D1)
= (122 - 80)/2200
= 1.5 °F/100ft
So the geothermal gradient of the sandstone layer is 1.5 °F/100ft.
This document summarizes the spontaneous potential (SP) log. It discusses how SP works by measuring the natural potential difference between a downhole electrode and surface reference electrode. SP response is caused by salinity differences between borehole fluid and formation water. The document outlines the various SP potentials, how the tool works, factors affecting response, and applications for formation evaluation and correlation. SP provides a qualitative indicator of permeability but is not quantitative.
WELL LOG : Types of Logs, The Bore Hole Image, Interpreting Geophysical Well Logs, applications, Production logs, Well Log Classification and Cataloging
The resistivity log measures the ability of rock formations to conduct electricity. Higher resistivity indicates water-bearing zones while lower resistivity corresponds to hydrocarbon-bearing zones. Resistivity is dependent on factors like porosity, fluid salinity, and lithology. Resistivity logs are used to identify hydrocarbon zones, permeable layers, and estimate porosity. Log interpretation provides values for parameters like porosity, water saturation, and lithology which can then be used to calculate reserves and map reservoir characteristics.
This document provides an overview of well log interpretation. It discusses how well logs are used to answer key questions about hydrocarbon-bearing formations like location, quantity, and producibility. The interpretation process involves identifying permeable zones using logs like SP and GR, then using resistivity and porosity logs to locate zones with hydrocarbons. Formations are further evaluated to determine porosity, fluid saturations, and other properties through techniques like density-neutron crossplots, environmental corrections, and determining formation temperature based on geothermal gradient. The goal is to locate potential producing zones and estimate hydrocarbon quantities and recoverability.
The reservoir (rock porosity and permeability)salahudintanoli
Reservoir rock is the one of the important component in petroleum system i.e without it petroleum system is impossible. This presentation contain all necessary information regarding reservoir rock.
well logging tools and exercise_dileep p allavarapuknigh7
Logging is a process that provides comprehensive formation information through continuously recording parameter measurements with depth. It plays an important role in exploration and production by obtaining resistivity, porosity, and lithology logs to identify hydrocarbon-bearing zones. Different disciplines like drilling, logging, core analysis, and reservoir modeling are interrelated and provide both open and cased hole data. Logs are interpreted to calculate parameters like water saturation, hydrocarbon saturation, and effective porosity, with the goal of determining hydrocarbon saturation multiplied by effective porosity in reservoir units. Accurate interpretation requires integration of log data with core analysis and rock physics studies.
This document discusses caliper logs, which measure the size and shape of a borehole. It describes different types of caliper tools, including multi-finger, dual caliper, and ultrasonic caliper tools. The document explains that caliper logs provide information about borehole shape and volume, mud cake buildup, lithology, and cement volume. More arms on a caliper tool provide more accurate measurements of borehole cross-section and shape. Caliper logs are often run with acoustic or neutron-density logs.
The document discusses the basics of well logging design. It includes an agenda for a one-day course that covers basic logging theory, interpretation, logging program design, and a workshop. The objectives are to familiarize participants with various log measurements, well evaluation strategies, and approaches to well logging design. Key logging topics covered include definitions, history, measurement principles for resistivity, spontaneous potential, gamma ray, density, neutron, and acoustic logs. Interpretation applications and limitations are also discussed.
The document provides an overview of density logging, which measures rock bulk density along a wellbore. It defines density logging, describes the tool and principles behind it, and discusses how density logs can be used to evaluate porosity, lithology, shale compaction, and other geological features. Key applications include porosity calculation, lithology identification when combined with neutron logs, detecting unconformities from changes in shale compaction trends, and identifying lithologies like coal or pyrite from their characteristically low or high densities.
Well logs can be states as “a recording against depth of any of the characteristics of the rock formations traversed by a measuring apparatus in the well-bore.”
This document discusses concepts related to well logging. It covers topics like borehole environment, fluid distribution around wells, invasion ratios for different porosity rocks, flushed and uninvaded zones, depth of investigation, formation resistivity, invasion and resistivity profiles, and provides examples of dual laterolog and induction logs through water-bearing and hydrocarbon-bearing zones. The document contains definitions of important parameters and concepts used in well logging and provides explanations for calculating invasion diameters and interpreting well log curves.
Types of sonic logging tools are explained briefly with help of animation and what are the application of these tools in determining the formation properties.
The document provides information about well logging techniques. It discusses how the borehole and surrounding rock can be invaded by drilling mud, affecting measurements. It describes the invaded zone and different resistivity measurements that can be taken. It then discusses various well logging tools - gamma ray, spontaneous potential, resistivity, density, neutron, and sonic logs - and how they are used to evaluate properties like lithology, porosity, fluid content, and hydrocarbon saturation.
The document discusses the uses of caliper logs for lithological assessment, calculating mud cake thickness, measuring borehole volume, determining required cement volume, assessing hole quality, selecting formations for testing, and providing contributory information for composite log interpretation and volumetric calculations. The caliper log directly measures borehole size and is used to correct other well logs for borehole conditions and ensure reliable data.
Oslo university basic well log analysis introductionJavier Espinoza
The document provides an overview of basic well log analysis methods used to derive petrophysical properties for hydrocarbon exploration. It discusses the borehole environment, including invasion of drilling mud into formations. It also covers open and cased hole logs, the three main types of logs (electrical, nuclear, acoustic), and how logs are used to infer properties like lithology, porosity, permeability, water saturation, and resistivity. Key concepts discussed include Archie's law, borehole resistivity profiles, and correcting mud and water resistivities for formation temperature.
This document provides an overview of formation evaluation techniques used in petroleum exploration and development. It discusses various logging methods like mud logging, coring, open-hole logging using electrical, nuclear and acoustic tools, logging while drilling, formation testing including wireline formation testing and drill stem testing, and cased-hole logging techniques. The goal of formation evaluation is to detect and quantify oil and gas reserves using measurements taken inside the wellbore and interpret physical properties of rocks and contained fluids.
This document discusses principles of well logging. It describes how well logging aims to evaluate subsurface hydrocarbon accumulations through measuring properties in boreholes. It outlines different types of hydrocarbon traps and elements in a petroleum system. It then explains what a well log is and different types of logs used, including gamma ray, resistivity, sonic, and neutron logs. Gamma ray logs specifically measure natural radioactivity to distinguish between lithologies like sandstone and shale. The document provides details on interpreting gamma ray logs and calculating shale volume from gamma ray readings.
The document discusses self potential (SP) logs, which measure electrical potential differences between points on the ground caused by natural subsurface currents. SP logs have three main conditions: porous and permeable reservoirs bounded by impermeable layers, two different fluid types (e.g. oil, gas, brine), and differences in salinity between fluids. SP logs can be used to find oil and gas reservoirs, determine shale volumes, and understand aquifer levels. They work by detecting potential differences between shales and reservoirs using electrodes during drilling.
1) The document discusses formation evaluation techniques based on well logging data to determine reservoir properties.
2) Quick qualitative log analysis can indicate reservoir rock type, hydrocarbon presence, and fluid type. Quantitative deterministic analysis estimates properties like porosity, saturation, and reserves.
3) Key logs measure resistivity, gamma radiation, density, and sonic velocity. Petrophysical models integrate logs to interpret lithology, fluid contacts, and hydrocarbon volumes.
The spontaneous potential log, commonly called the self potential log or SP log, is a passive measurement taken by oil industry well loggers to characterise rock
1) The document discusses methods for calculating water saturation (SW) and formation water resistivity (RW) using well log data and interactive petrophysics programs.
2) It describes various models and techniques for determining SW, such as Archie's equation, Rwa approach, crossplots, and other empirical models. It also discusses six ways to calculate RW, including from Archie's equation, resistivity-porosity crossplots, and direct water sampling.
3) The results section calculates SW using different well log measurements and models, and determines RW from temperature and resistivity crossplots. It concludes by discussing factors that affect the accuracy of SW and RW calculations.
Radiation trapping occurs in optical rubidium atomic frequency standards (O-RAFS) where the 420 nm fluorescent radiation is resonant with the rubidium vapor, leading to fewer fluorescence readings as temperature increases. Quantifying radiation trapping will improve understanding of its effect on clock stability. O-RAFS uses off-the-shelf components to create a simple optical clock with stability exceeding current clocks by 10 times without laser cooling or extensive magnetic shielding. Detecting red fluorescence for feedback does not suffer from radiation trapping and allows higher vapor temperatures for maximized clock stability.
The document provides an introduction to well log interpretation. It discusses key concepts such as identifying clean zones using gamma ray and resistivity logs, determining porosity using density, neutron, acoustic and NMR logs, and identifying hydrocarbon presence based on resistivity. It also covers estimating hydrocarbon quantity from water saturation, and evaluating recoverability by comparing flushed and true zone resistivities. The borehole environment and its impact on invasion zones is also summarized.
The document discusses well logging techniques. It begins by defining a well log as a continuous record of measurements made in a borehole that respond to variations in physical rock properties. It then discusses the concept of borehole invasion, where drilling mud contaminates the formation near the borehole. Key logging tools are described, including gamma ray, spontaneous potential, resistivity, density, neutron, and sonic logs. Porosity calculations using various logs are also presented. In particular, it focuses on how well logs can be used to determine lithology, porosity, fluid content and hydrocarbon saturation in geological formations.
Well Log Interpretation and Petrophysical Analisis in [Autosaved]Ridho Nanda Pratama
PT. Halliburton Logging Service is a branch of Halliburton that provides completion and production services, drilling, and reservoir evaluation to oil companies in Sumatra, Indonesia. Dery Marsan and Ridho Nanda Pratama completed an on-job training program at Halliburton from August to September 2015. Their project involved well log analysis to determine water saturation and the most suitable water resistivity parameters in two formations, with the objectives of identifying water zones, evaluating challenges around determining petrophysical parameters, and analyzing well data. Their analysis identified both water-bearing and possible oil-bearing zones through evaluation of gamma ray, resistivity, neutron-density crossplots, and other well logs.
Gas chromatography is a technique used to separate and analyze mixtures that can be vaporized without decomposition. It works by partitioning components to be separated between a stationary phase and a mobile gas phase. The key components of a gas chromatography instrument are the carrier gas, injection port, column, temperature control system, and detector. Factors like temperature, flow rate, column length, and amount of sample injected can influence separation of the components. Gas chromatography has applications in qualitative and quantitative analysis and is used in quality control of pharmaceuticals.
The experiment tested two boron trifluoride proportional gas tube neutron detectors and a REM sphere dose meter. The gas tubes detected slow neutrons below 0.5 eV using the 10B(n,α)7Li reaction, while the REM sphere could detect fast neutrons above 0.5 eV after they were slowed. Count rate and pulse height data were taken for the gas tubes at varying voltages to determine optimal operating voltages. Spectral measurements found that gamma rays were effectively blocked. Neutron fluxes were significantly attenuated outside shielding containing boron and cadmium. REM sphere measurements from 1-16 feet from a californium source yielded experimental dose rates from 1.07-77.2 μSv/hr
This document discusses quantitative evaluation procedures to determine hydrocarbon saturation levels within a formation using well log data. The formation factor F is defined as the ratio of the resistivity of the total saturated formation to the resistivity of the water alone. This factor along with other resistivity measurements can be used to calculate the water saturation Sw within the formation. The Archie equation is presented as a way to estimate formation factor based on porosity. Threshold ratios of apparent water resistivity to true water resistivity are given to indicate hydrocarbon potential, above 4 suggesting oil production. An example output table is provided to calculate and display these values for evaluation.
The document summarizes an assay lab chemistry internship. It describes various projects the intern worked on including analyzing how shaking time affects gold concentration in ore samples and how the volume of preg-rob solution dispensed affects results. It also discusses calibrating an XRF machine to properly measure gold and silver concentrations. The intern found shaking time and contact time with cyanide increased gold concentration as expected. Too little or too much preg-rob solution led measurements outside the average. Applying correction factors and changing error weight types helped improve the XRF calibration.
Atomic absorption spectroscopy is a technique used to determine the concentration of metal ions in solutions. It works by vaporizing the sample into atoms and measuring how much light of a specific wavelength is absorbed. The amount of absorption is directly related to the concentration of the metal ion. Key components of the instrumentation include a radiation source, monochromator, atomizer, and detector. Common applications are analyzing metals in environmental, food, clinical, petroleum, and alloy samples.
This document provides an overview of basic well logging design, including:
- An agenda for a one-day course on well logging that includes lectures, breaks, and a workshop
- Objectives of familiarizing participants with log measurements, interpreting lithology and fluid types, understanding factors affecting logs, and designing well logging programs
- A definition of well logs as continuous depth records of formation properties acquired by lowering measurement tools into boreholes
This document provides an overview of the RMT pulsed neutron tool. It describes the tool's operation modes (CO and Sigma), components like the neutron generator and detectors, and basic log interpretation techniques. Key points include:
- RMT uses pulsed neutrons to perform neutron spectroscopy and evaluate saturations over time. It has two detection modes: CO for carbon/oxygen analysis and Sigma for capture spectroscopy.
- It contains a neutron generator that produces 14 MeV neutrons via tritium-deuterium reactions, along with bismuth germinate detectors.
- CO mode analyzes inelastic gamma rays from carbon and oxygen during neutron bursts. Sigma mode analyzes capture gamma rays from thermal
1. The document describes examples of using the Zero-Offset Common Reflection Surface (ZO-CRS) stacking method on both synthetic and real seismic data cases.
2. For the synthetic cases, ZO-CRS stacking produces improved focusing and positioning of reflectors compared to conventional stacking.
3. For the real marine seismic data case from Western Sumatra, ZO-CRS stacking results in higher signal-to-noise ratio and better imaging of dipping events and diffractions than conventional stacking.
An autoignition performance comparison of chemical kinetics models for n-heptaneOregon State University
Surrogate models of gasoline typically include the primarily reference fuel (PRF) n-heptane. The chemical kinetics literature contains many models for n-heptane, but no comprehensive survey or performance validation for these models exist. This paper objectively compares the performance of various chemical kinetics models for n-heptane for autoignition, using experimental data from a variety of sources. In doing so, recommendations for choosing appropriate models are made and areas of improvement identified. As a secondary goal, this work also collected and standardized a wide range of shock tube and rapid compression machine autoignition data for this neat fuel. This study represents the first step of a comprehensive study of models for n-heptane, isooctane, toluene, and ethanol alone and in binary, ternary, and quaternary mixtures.
This document provides information about various NMR experiments and parameters that can be performed on instruments at the Centre Commun de RMN de l'université Lyon1. It discusses topics like practical NMR seminars, NMR tubes, solvents, magnetic fields, signal to noise ratios, quantitative analysis, decoupling, analysis temperature, solvent presaturation, TOCSY, ROESY, and proton broad band decoupling. Examples are provided on different instruments to demonstrate the effects of varying parameters like magnetic field strength, pulse sequence, relaxation delay, number of scans, and probe type on the resulting NMR spectrum.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
3. Well QATIF-46
Uses of SP log 3
Identify permeable zones
Define bed boundaries
Compute shale content
Depositional Environment from the SP
Determine values of formation water resistivity
4. Well QATIF-46
Uses of SP log 4
1.Identify permeable zones
• The negative abnormal on SP
curve usually indicates the
permeable zone ; the higher
abnormal range , the more
permeable of the formation .
• Since invasion can only occur
in permeable formations,
deflections of SP can be used
to identify permeable
formations.
5. Uses of SP log
1.Identify permeable zones
The negative abnormal on SP curve
usually indicates the permeable
zone ; the higher abnormal range ,
the more permeable of the
formation .
Since invasion can only occur in
permeable formations, deflections
of SP can be used to identify
permeable formations.
5
SP alone can not tell the
whole story
6. Uses of SP log
2. Definition of bed boundaries
Half of abnormal amplitude
point will be boundaries of shale
and sand.
The bed thickness is the interval
between two boundaries .
The vertical resolution of SP is
poor, and often the permeable
bed must be 30 ft or more to
achieve a static (flat baseline) SP
6
7. Uses of SP log
2. Definition of bed boundaries
Half of abnormal amplitude point
will be boundaries of shale and
sand.
The bed thickness is the interval
between two boundaries .
The vertical resolution of SP is
poor, and often the permeable
bed must be 30 ft or more to
achieve a static (flat baseline) SP
7
8. Uses of SP log
3. Compute shale content
The presence of shale in a
permeable formation reduces
the SP deflection.
In water-bearing zones, the
amount of SP reduction is
related to the amount of shale
in the formation.
The SP response of shales is
relatively constant and follows
a straight line called a shale
baseline.
The SP value of the shale
baseline is assumed to be zero,
and SP curve deflections are
measured from this baseline.
8
9. Base Line Drift
Over long intervals (several hundreds to
thousands of feet), the SP baseline can drift,
either in the positive or negative direction.
This characteristic is commonly observed in
shallow sections.
Caused by increases in relative oxidation of
the rocks that are close to the land surface.
This may introduce errors if the SP
magnitude is being calculated over that long
interval, especially by means of a computer.
The baseline drift can be removed (many
programs have such editing routines) so
that the SP baseline retains a constant value
(usually set to zero) over the length of the
logged interval.
9
A shallow section of the Dakota.
10. Shale Content
Presence of shale in the formation will reduce the static SP
Shale lattice will slow the migration of chlorine ions and assist the
flow of sodium ions, decreasing Ej
This reduces SSP to a pseudo-static value, PSP
10
SSP Max deflection possible for given Rmf/Rw
SP SP response due to presence of thins beds and/or gas presence
PSP Pseudostatic SP; SP when shale is present
𝑽 𝒔𝒉 = 𝟏 −
𝑷𝑺𝑷
𝑺𝑺𝑷
The volume of shale can be calculated:
11. Shale Content 11
Example-1
Determine the volume of shale in zone B
𝑽 𝒔𝒉 = 𝟏 −
𝑷𝑺𝑷
𝑺𝑺𝑷
S𝑺𝑷 = 𝟏𝟎𝟎 𝒎𝑽
P𝑺𝑷 = 𝟕𝟔 𝒎𝑽
𝑽 𝒔𝒉 = 𝟏 −
𝟕𝟔
𝟏𝟎𝟎
= 𝟎. 𝟐𝟒
𝑽 𝒔𝒉 = 𝟐𝟒 %
SSP and PSP are measured
from shale baseline
13. Uses of SP log
4. Determination of Formation Water Resistivity from SP Log
13
• The most direct way of finding water resistivity (Rw) is to obtain
a sample of formation water and measure its resistivity
• Formation water samples, if available, are invariably
contaminated by mud filtrate.
• Rw is therefore usually calculated.
14. Uses of SP log
4. Determination of Formation Water Resistivity from SP Log
14
1.Determine formation
temperature.
2.Find Rmf at formation
temperature
3.Convert Rmf at formation
temperature to Rmfe value
4.Compute Rmfe / Rwe ratio
from the SP
5.Compute the Rwe
6.Convert Rwe at formation
temperature to Rw
Induction electric log with an SP curve
from a Pennsylvanian upper Morrow
sandstone in Beaver County, Oklahoma.
15.
TD
TBHTFD
TT s
sf
Spontaneous Potential Log: Calculation of Rw
• Resistivities are temperature dependent.
• 1st step Find the formation temperature at the depth at which Rw
is required.
• Using linear interpolation between surface and bottom hole
temperature.
• The petroleum industry usually uses degF, not degC.
15
Data given on well header
• Surface Temp (Ts),
• Formation Depth (FD),
• Bottom Hole Temp (BHT), and
• Total Depth (TD) are usually.
16. Temperature Gradient 16
1 oF/100ft = 1.823 oC/100m
1 oC/100m = 0.5486 oF/100ft
• This chart can be used for
estimating the temperature
in the borehole opposite a
formation at a specific depth.
17. Calculation of Rw 17
The 2nd step: convert Rm & Rmf measured at the surface to Rmf at Tf, the
formation temp. This is NOT a linear interpolation , The constant 6.77 is 0F.
For Celsius it is 21.5
0
0
0
0
77.6
77.6
f
mff
mf
T
TR
R
The 3rd step: Find the ideal potential (SSP), correcting for bed thickness.
• Bed thickness is determined from the SP log by measuring the distance
between inflection points of the SP curve
• Ri, from the SN (short reading resistivity) log next to the SP log
• Calculate Ri/Rm (make sure you use the temperature corrected Rm), get
the SP correction factor, then read off
0
0
0
0
77.6
77.6
f
mf
m
T
TR
R
19. Correcting for bed thickness 19
The data necessary to Correct SP to SSP using Chart are:
Bed thickness,
Resistivity from the
shallow-reading
resistivity tool (Ri)
Rm @ BHT
20. The 4th step is to find the equivalent formation water resistivity, Rwe, using
the following equation (remember Rmf is at formation temperature):
The final step is to find the actual water resistivity, Rw, using the following
equation:
Calculation of Rw 20
8.50log
0426.0
2
9.19log
1
105.0
10131.0
BHT
we
BHT
we
w
R
R
R
n
t
w
w
R
RF
S
1
Once Rw is calculated for the reservoir, use
the Archie equation to calculate Sw.
BHT
SSP
mfwe RR 133.061
10
25. Classical Method Review 25
Rw From the SP-Classic Method
The procedure for using the equations is as following:
1. Determine formation temperature.
2. Find Rmf at formation temperature
3. Convert Rmf at Tf to Rmfe value.
4. Compute The Rmfe/Rwe ratio from the SP.
5. Compute Rwe.
6. Convert Rwe at formation temperature to an Rw value.
26. Example-2
The SP deflection is –60 mV across a thick, water- bearing, clean
zone. The value of Rmf at that temperature of 100 F is 0.5 ohm-m.
Determine Rw at the same temperature (100 F)
Rw from SP: Classical Method
First, Determine the Rmfe (effective Rmf), since the resistivity is not
an accurate determination of the ion activity that produces the SP.
26
27. Rmfe = 0.45 ohm-m
at 100 F.
1. Determine Rmfe
0.5,100F
0.45 ohm-m
Rmf, 0.5 ohm-m
27
28. 2. Determine
Rwe from Rmfe
Rmfe/Rwe = 7. Therefore,
Rwe=0.45 ohm-m/7=0.064 ohm-m at 100 F
60, 100
7
SSP
28
29. (Rwe=0.064 ohm-m at
100F)
3. Finally, determine Rw
•Rw=0.10 ohm-m at
100 F
• Here, Rw<Rmf. This
problem illustrates the
fact that if Rw<Rmf, SP
deflection is negative
(0.1<0.45 ohm-m)
(Normal SP)
0.064 mV
0.064, 100F
29
30. Rw from SP—Silva-Bassiouni Method
The classical method is complicated to the novice.
Simpler method is available and theoretically justified.
The entire process is reduced to a single chart.
30
1.Enter the chart from below with Rmf at
formation temperature.
2.Move up to intersect the temperature
line at point A.
3. Move left to the SP axis, and then move
down by an amount equal to the
negative SP deflection.
4.Move right to the temperature line to
point B.
5.From B proceed down to the resistivity
scale, and read the value of at formation
temperature.
32. Well QATIF-46
For the same problem as
before, ie Rmf=0.5 ohm.m
at 100 F, determine Rw if
the SP deflection is –60
mV.
We see Rw=0.1 ohm-m,
as shown with the
classical method.
145 mV – 60 mV = 85mV
Rw from SP—Silva-Bassiouni Method 32
33. Classical vs. Silva-Bassiouni Method
The classical method requires 3 steps for
the determination of Rw
The Silva Bassiouni method gives you the
same value of Rw. Hence it is easier to use
33
34. Example
Given:
Rm = 2.5 Ω-m at 70°F
Rmf = 2.0 Ω-m at 70°F
Hole diameter = 8 in.
Surface temperature = 60°F
BHT = 164°F at 10,500 ft
From the log:
SP deflection = 70 mV
Bed thickness = 24 ft
Short normal resistivity = 65 Ω-m
34
35. Example
Calculations
35
8114
8138
24ft
Using BHT = 164°F at 10,500 ft and
surface temperature = 60°F:
Tf at 8100 ft=140°F.
Using Rm = 2.5 Ω-m at 70°F and
Rmf = 2.0 Ω-m at 70°F:
Rm = 1.3 Ω-m at 140°F
Rmf = 1.0 Ω-m at 140°F.
SP deflection =–70 mV.
Ri/Rm = RSN/Rm = 65/1.3 = 50.
The SP correction factor is 1.07
Corrected SP of 1.07 × –70 = –75 mV.
From Chart 4, using SP corrected
and Tf: Rmf/Rwe = 9.7.
Rwe = Rmf/(Rmf/Rwe) = 1.0/9.7
= 0.103 Ω-m.
Using Rwe and Tf. Rw = 0.103 Ω-m
36. SP shapes and Depositional Sequence 36
Since shales and clays are generally
finer-grained than sands, a change
in SP suggests a change in grain size.
SP deflections can indicate
depositional sequences, where
either sorting, grain size or
cementation change with depth and
produce characteristic SP shapes.
These shapes are referred to as
bells, funnels, or cylinders .
37. Factors Affecting the SP Response
Hydrocarbons: reduce the SP deflection
Shaliness: reduces the SP deflection
Bed thickness: thin beds do not develop a full SP deflection
Permeability: low permeability zones will have a very high
invasion diameter, so it may be impossible to read the
Junction Potential, hence SP readings may be low
37
38. Passive Log Correlation
GR, SP, and Caliper
• Often correlate
• Different measurements
• Different reasons
Correlation helps
• GR instead of SP in oil base mud
• Easier detection of shales
• Facilitates “zonation”
38
39. Zonation
Zonation - Defines intervals of similar properties
Purpose
• Well-to-well correlation
• Evaluation of specific intervals
Criteria
• Lithology
• Fluids
• Porosity and permeability
Begin with coarse zonation
oTypically
• Well-to-well correlation 20 - 100 ft
• Detail evaluation 10 ft thick or more
oEasy lithologies first, e.g., shales
Refine
oMore subtle lithology changes
oFluids in porous, perm intervals
oDepends on measurements available
39
41. Limitations of SP Log
The SP cannot be recorded in air or oil-base muds,
since there is no conductive fluid in the borehole.
Conductive mud is essential for generation of a
spontaneous potential.
In salt-mud, SP tends to be straight line (less salinity
contrast).
If bed is too thin, the full SP will not develop. Chart exist
to correct for this effect, but only significant for bed
thickness < 20ft.
Hydrocarbon and shale in the formation reduce SP
development.
41