This document discusses concepts in applied reservoir engineering including reservoir definitions, rock and fluid properties, drive mechanisms, calculation of original hydrocarbon in place using volumetric methods, and PVT data for gas and oil reservoirs. It provides an overview of key topics in reservoir engineering, examples of calculating oil and gas in place, and definitions of different reservoir drive types including depletion, water drive, and gas cap drives. Laboratory measurement of PVT data for gas and oil reservoirs is also briefly covered.
If you are looking GATE 2017 Question and Detailed Solution for Chemical Engineering(CH). Visit here http://www.engineersinstitute.com/pdf/gate-2017-detailed-solution-chemical-engineering-ch.pdf to completed detailed solution for CH.
If you are looking GATE 2017 Question and Detailed Solution for Chemical Engineering(CH). Visit here http://www.engineersinstitute.com/pdf/gate-2017-detailed-solution-chemical-engineering-ch.pdf to completed detailed solution for CH.
The well was constructed at 2913 Union Ave, Las Cruces, NM 88005. A grain size distribution was graphed according to the data collected from the sieve analysis test and screening area was determined as well as the minimum length of screen “Ls”. The hydraulic conductivity was calculated using a falling head test. A pump and a motor were chosen according to the manual sent from the professor. The cost was measured in “$/A.F.” from the calculated data.
If you are looking GATE 2017 Question and Detailed Solution for Chemical Engineering(CH). Visit here http://www.engineersinstitute.com/pdf/gate-2017-detailed-solution-chemical-engineering-ch.pdf to completed detailed solution for CH.
If you are looking GATE 2017 Question and Detailed Solution for Chemical Engineering(CH). Visit here http://www.engineersinstitute.com/pdf/gate-2017-detailed-solution-chemical-engineering-ch.pdf to completed detailed solution for CH.
The well was constructed at 2913 Union Ave, Las Cruces, NM 88005. A grain size distribution was graphed according to the data collected from the sieve analysis test and screening area was determined as well as the minimum length of screen “Ls”. The hydraulic conductivity was calculated using a falling head test. A pump and a motor were chosen according to the manual sent from the professor. The cost was measured in “$/A.F.” from the calculated data.
Absorption of CO2 gas from CO
2/Air mixture into aqueous sodium hydroxide solution has been
achieved using packed column in pilot scale at constant temperature (T) of 25±1℃.The aim of the present work
was to improve the Absorption rate of this process, to find the optimal operation conditions, and to contribute to
the using of this process in the chemical industry. Absorption rate (RA) was measured by using different
operating parameters: gas mixture flow rate (G) of 360 -540 m3/h, carbon dioxide inlet concentration (CCO
2) of
0.1-0.5 vol. %, NaOH solution concentration (CNaOH) of 1-2 M, and liquid holdup in the column (VL) of 0.022-0.028 m3 according to experimental design. The measured RA was in the range of RA = 3.235 – 22.340 k-mol/h.
Computer program (Statgraphics/Experimental Design) was used to estimate the fitted linear model of RA in
terms of (G, CCO2, CNaOH, and VL), and the economic aspects of the process. R -squared of RA model was
91.7659 percent, while the standard error of the estimate shows the standard deviation of the residuals to be
1.7619. The linear model of RA was adequate, the operating parameters were significant except the liquid holdup
was not significant, and the interactions were negligible.
Streamline based history matching of arrival times and bottom-hole pressure d...Shusei Tanaka
Streamline-based history matching techniques have provided significant capabilities in integrating field-scale water-cut and tracer data into high resolution geologic models. The effectiveness of the streamline approach lies in the fact that parameter sensitivities can be computed analytically as one-dimensional integrals along streamlines and requires little additional computational overhead beyond the forward simulation. However, application of the streamline-based approach for simultaneous integration of water-cut and bottomhole pressure has been rather limited. This is partly because the convective streamlines appear to offer no particular advantage while computing parameter sensitivities for the bottomhole pressure data. This limits the utility of streamline-based history matching particularly for three-phase black-oil and compositional systems where the integration of pressure data is a requirement to accurately model reservoir depletion mechanisms.
Greenhouse Gas Emissions From Land Applied Swine Manure: Development of Metho...LPE Learning Center
For more: http://www.extension.org/67579 A new method was used at the Ag 450 Farm Iowa State University (41.98N, 93.65W) from October 24, 2012 through December 14, 2012 to assess GHG emission from land-applied swine manure on crop land. Gas samples were collected daily from four static flux chambers. Gas method detection limits were 1.99 ppm, 170 ppb, and 20.7 ppb for CO2, CH4 and N2O, respectively. Measured gas concentrations were used to estimate flux using four different models, i.e., (1) linear regression, (2) non-linear regression, (3) non-equilibrium, and (4) revised Hutchinson & Mosier (HMR). Sixteen days of baseline measurements (before manure application) were followed by manure application with deep injection (at 41.2 m3/ha), and thirty seven days of measurements after manure application.
An effective reservoir management by streamline based simulation, history mat...Shusei Tanaka
The use of the streamline-based method for reservoir management is receiving increased interest in recent years because of its computational advantages and intuitive appeal for reservoir simulation, history matching and rate allocation optimization. Streamline-based method uses snapshots of flow path of convective flow. Previous studies proved its applicability for convection dominated process such as waterflooding and tracer transport. However, for a case with gas injection with strong capillarity and gravity effects, the streamline-based method tends to lose its advantages for reservoir simulation and may result in loss of accuracy and applicability for history-matching and optimization problems.
In this study, we first present the development of a 3D 3-phase black oil and compositional streamline simulator. Then, we introduce a novel approach to incorporate capillary and gravity effects via orthogonal projection method. The novel aspect of our approach is the ability to incorporate transverse effects into streamline simulation without adversely affecting its computational efficiency. We demonstrate our proposed method for various cases, including CO2 injection scenario. The streamline model is shown to be particularly effective to examine and visualize the interactions between heterogeneity which resulting impact on the vertical and areal sweep efficiencies.
Next, we apply the streamline simulator to history matching and rate optimization problems. In the conventional approach of streamline-based history matching, the objective is to match flow rate history, assuming that reservoir energy was matched already, such as pressure distribution. The proposed approach incorporates pressure information as well as production flow rates, aiming that reservoir energy are also reproduced during production rate matching.
Finally, we develop an NPV-based optimization method using streamline-based rate reallocation algorithm. The NPV is calculated along streamline and used to generate diagnostic plots of the effectiveness of wells. The rate is updated to maximize the field NPV. The proposed approach avoids the use of complex optimization tools. Instead, we emphasize the visual and the intuitive appeal of streamline methods and utilize flow diagnostic plots for optimal rate allocation.
We concluded that our proposed approach of streamline-based simulation, inversion and optimization algorithm improves computational efficiency and accuracy of the solution, which leads to a highly effective reservoir management tool that satisfies industry demands.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Absorption of CO2 gas from CO
2/Air mixture into aqueous sodium hydroxide solution has been
achieved using packed column in pilot scale at constant temperature (T) of 25±1℃.The aim of the present work
was to improve the Absorption rate of this process, to find the optimal operation conditions, and to contribute to
the using of this process in the chemical industry. Absorption rate (RA) was measured by using different
operating parameters: gas mixture flow rate (G) of 360 -540 m3/h, carbon dioxide inlet concentration (CCO
2) of
0.1-0.5 vol. %, NaOH solution concentration (CNaOH) of 1-2 M, and liquid holdup in the column (VL) of 0.022-0.028 m3 according to experimental design. The measured RA was in the range of RA = 3.235 – 22.340 k-mol/h.
Computer program (Statgraphics/Experimental Design) was used to estimate the fitted linear model of RA in
terms of (G, CCO2, CNaOH, and VL), and the economic aspects of the process. R -squared of RA model was
91.7659 percent, while the standard error of the estimate shows the standard deviation of the residuals to be
1.7619. The linear model of RA was adequate, the operating parameters were significant except the liquid holdup
was not significant, and the interactions were negligible.
Streamline based history matching of arrival times and bottom-hole pressure d...Shusei Tanaka
Streamline-based history matching techniques have provided significant capabilities in integrating field-scale water-cut and tracer data into high resolution geologic models. The effectiveness of the streamline approach lies in the fact that parameter sensitivities can be computed analytically as one-dimensional integrals along streamlines and requires little additional computational overhead beyond the forward simulation. However, application of the streamline-based approach for simultaneous integration of water-cut and bottomhole pressure has been rather limited. This is partly because the convective streamlines appear to offer no particular advantage while computing parameter sensitivities for the bottomhole pressure data. This limits the utility of streamline-based history matching particularly for three-phase black-oil and compositional systems where the integration of pressure data is a requirement to accurately model reservoir depletion mechanisms.
Greenhouse Gas Emissions From Land Applied Swine Manure: Development of Metho...LPE Learning Center
For more: http://www.extension.org/67579 A new method was used at the Ag 450 Farm Iowa State University (41.98N, 93.65W) from October 24, 2012 through December 14, 2012 to assess GHG emission from land-applied swine manure on crop land. Gas samples were collected daily from four static flux chambers. Gas method detection limits were 1.99 ppm, 170 ppb, and 20.7 ppb for CO2, CH4 and N2O, respectively. Measured gas concentrations were used to estimate flux using four different models, i.e., (1) linear regression, (2) non-linear regression, (3) non-equilibrium, and (4) revised Hutchinson & Mosier (HMR). Sixteen days of baseline measurements (before manure application) were followed by manure application with deep injection (at 41.2 m3/ha), and thirty seven days of measurements after manure application.
An effective reservoir management by streamline based simulation, history mat...Shusei Tanaka
The use of the streamline-based method for reservoir management is receiving increased interest in recent years because of its computational advantages and intuitive appeal for reservoir simulation, history matching and rate allocation optimization. Streamline-based method uses snapshots of flow path of convective flow. Previous studies proved its applicability for convection dominated process such as waterflooding and tracer transport. However, for a case with gas injection with strong capillarity and gravity effects, the streamline-based method tends to lose its advantages for reservoir simulation and may result in loss of accuracy and applicability for history-matching and optimization problems.
In this study, we first present the development of a 3D 3-phase black oil and compositional streamline simulator. Then, we introduce a novel approach to incorporate capillary and gravity effects via orthogonal projection method. The novel aspect of our approach is the ability to incorporate transverse effects into streamline simulation without adversely affecting its computational efficiency. We demonstrate our proposed method for various cases, including CO2 injection scenario. The streamline model is shown to be particularly effective to examine and visualize the interactions between heterogeneity which resulting impact on the vertical and areal sweep efficiencies.
Next, we apply the streamline simulator to history matching and rate optimization problems. In the conventional approach of streamline-based history matching, the objective is to match flow rate history, assuming that reservoir energy was matched already, such as pressure distribution. The proposed approach incorporates pressure information as well as production flow rates, aiming that reservoir energy are also reproduced during production rate matching.
Finally, we develop an NPV-based optimization method using streamline-based rate reallocation algorithm. The NPV is calculated along streamline and used to generate diagnostic plots of the effectiveness of wells. The rate is updated to maximize the field NPV. The proposed approach avoids the use of complex optimization tools. Instead, we emphasize the visual and the intuitive appeal of streamline methods and utilize flow diagnostic plots for optimal rate allocation.
We concluded that our proposed approach of streamline-based simulation, inversion and optimization algorithm improves computational efficiency and accuracy of the solution, which leads to a highly effective reservoir management tool that satisfies industry demands.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
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• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
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Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
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Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. Applied Reservoir Engineering : Dr. Hamid Khattab
Reservoir Definition
Reservoir Definition
Reservoir Definition
Reservoir Definition
Cap rock
Res. Fluid
Reservoir rock
R i
Reservoir
Shallow Deep
offshare onshare offshare onshare
4. Applied Reservoir Engineering : Dr. Hamid Khattab
Rock Properties
Porosity Saturation Permeability Capillary Wettability
Absolute Effective
So
Sw
Sg
Absolute
Eff ti
Relative
Primary Primary
Effective
Ratio
Secondary Seccondary
5. Applied Reservoir Engineering : Dr. Hamid Khattab
Reservoir fluids
Reservoir fluids
Water Oil Gas
Salt Fresh
Black
Volatile
Drey
Wet Condensate
Low volatile
High volatile Ideal
Real
(non ideal)
6. Applied Reservoir Engineering : Dr. Hamid Khattab
Fluid properties
Gas Oil Water
AM T P Z C β
ρg AMw γg Tc PC Z Cg βg µg βw rs µw Salinity
Cw
ρo γo APT rs βo βt µo Co
TR PR
7. Applied Reservoir Engineering : Dr. Hamid Khattab
Applied reservoir Engineering Contents
Applied reservoir Engineering Contents
1. Calculation of original hydrocarbon in place
i. Volumetric method
i. Volumetric method
ii. Material balance equation (MBE)
2 Determination of the reservoir drive mechanism
2. Determination of the reservoir drive mechanism
– Undersaturated
– Depletion
– Gas cap
– Water drive
– Combination
3. Prediction of future reservoir performance
– Primary recovery
Primary recovery
– Secoundry recovery by : Gas injection
Water injection
8. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
volumetric method
volumetric method
● ●
6
7
Well Depth
1 D1
●
●
●4
3
2
1 D1
2 D2
3 D3
4 D4
●
●
●
●
1
9
4 D4
5 D5
6 D6
7 D
●
8
5
9
Scale:1:50000
7 D7
8 D8
9 D9
Location map
Structural contour map
9. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
volumetric method
volumetric method
Well Depth
1 h1
G
1 h1
2 h2
3 h3
4 h4
Goc
Gas
Oil
4 h4
5 h5
6 h6
7 h
Woc
Oil
Water
7 h7
8 h8
9 h9
30
10
0
Isopach map
10. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
Calculation of original hydrocarbon in place by
volumetric method
volumetric method
)
1
(
. wi
S
BV
N −
= φ
)
1
(
)
( wi
S
Ah −
= φ )
(
)
( wi
φ
wi
S
Ah
β
φ
615
5
)
1
(
43560 −
= SCF
Bbl
g
β
oi
β
615
.
5
wi
S
Ah
N
φ )
1
(
7758 − STB
STB
bbl
o
β
acres
A:
oi
wi
N
β
φ )
(
=
i
S
Ahφ )
1
(
7758 −
STB
SCF
ft
h :
fractions
Swi :
,
φ
gi
wi
S
Ah
G
β
φ )
1
(
7758
=
SCF f
wi
,
φ
11. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of (BV) using isopach map
Calculation of (BV) using isopach map
Area inch2
C.L
( ) g p p
( ) g p p
1. Trapozoidal method:
A1
10
Ao
0 WOC
5
.
0
1 >
−
n
n A
A
A3
30
A2
20
[ ]
A
A
A
A
A
h
BV n
n +
+
+
+
+
= − 2
2
......
2
2
2
1
2
1
0
A5
50
A4
40
A’
GOC
[ ]
[ ]
A
A
h
n
n
n
′
+
′
+
2
2
1
2
1
0
A7
70
A6
60
O
76
A7
70
12. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of (BV) using isopach map
Calculation of (BV) using isopach map
Area inch2
C.L
( ) g p p
( ) g p p
2. Pyramid or cone method
5
.
0
1 ≤
−
n
n A
A A1
10
Ao
0 WOC
[ ]
A
A
A
A
h
BV .
3
1
0
1
0 +
+
=
A3
30
A2
20
[ ]
A
A
A
A
h
.
3
2
1
2
1 +
+
+
A5
50
A4
40
A’
GOC
[ ] [ ]
n
n
n
n A
h
A
A
An
A
h
3
.
3
1
1 +
+
+
+ −
−
A7
70
A6
60
O
76
A7
70
13. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of (BV) using isopach map
Calculation of (BV) using isopach map
( ) g p p
( ) g p p
3. Simpson method
Odd number of contour lines
[ ]
n
n A
A
A
A
A
A
h
BV 2
4
......
4
2
4
3
1
3
2
1
0 +
+
+
+
+
+
= −
[ ]
n
A
h
3
3
′
+
3
14. Applied Reservoir Engineering : Dr. Hamid Khattab
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Say : Scale 1 : 50000
Say : Scale 1 : 50000
1 inch = 50,000 inch
acres
56
398
(50,000)
inch
1
2
2
acres
56
.
398
43560
144
( )
inch
1 =
×
=
15. Applied Reservoir Engineering : Dr. Hamid Khattab
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Example 1 :
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Gi th f ll i l i t d f it f
Given the following planimetred areas of an oit of
reservoir. Calculate the original oil place (N) if φ =25%,
Swi=30%, βoi=1.4 bbl/STB and map scale=1:15000
C.L : 0 10 20 30 40 50 60 70 80 86
Area inch2 : 250 200 140 98 76 40 26 12 5 0
18. Applied Reservoir Engineering : Dr. Hamid Khattab
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Example 2 :
If th i f l 1 i i d
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
If the reservoir of example 1 is a gas reservoir and
βg=0.001 bbl/SCF. Calculate the original gas in place
S l ti
Solution :
)
3
0
1
(
25
0
39
258193
7758 −
×
×
×
MMSCF
G 53
.
350
001
.
0
)
3
.
0
1
(
25
.
0
39
.
258193
7758
=
×
×
×
=
19. Applied Reservoir Engineering : Dr. Hamid Khattab
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
Example 3 :
Converting map areas (inch
Converting map areas (inch2
2) to acres
) to acres
A gas cap has the following data : φ =25%, Swi=30%, βoi=1.3
bbl/STB, βgi=0.001 bbl/SCF and map scale=1:20000
C.L : 0(WOC) 10 20 30 33(GOC) 40 50 60 70 76
Area inch2 : 350 310 270 220 200 190 130 55 25 0
Calculate the original oil in place (N) and the original gas in
place (G)
21. Applied Reservoir Engineering : Dr. Hamid Khattab
Reservoir drive mechanism
Reservoir drive mechanism
Reservoir drive mechanism
Reservoir drive mechanism
Water reservoir
Water reservoir
P
Gas reservoir
Gas
Gas
Bg
Water
with bottom
water drive
without bottom
water drive
g
Oil reservoir
22. Applied Reservoir Engineering : Dr. Hamid Khattab
Oil reservoir
Undersaturated
P>Pb
Oil
Oil
Oil
Water
with bottom
without bottom Saturated
water drive
without bottom
water drive
Saturated
P≤Pb
Oil
Oil
Oil
Oil
W
Gas
Gas
Gas
Oil
Water
Gas
Combination
drive
Bottom water
drive
Gas cap
drive
Depletion
drive
23. Applied Reservoir Engineering : Dr. Hamid Khattab
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
Gas reservoirs
Bg
Gas reservoirs
P
ZT
Bg 00504
.
0
=
P
24. Applied Reservoir Engineering : Dr. Hamid Khattab
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
Saturated oil reservoirs
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
Boi=Bti
µo
B
rsi
Bt = Bo+(rsi-rs)Bg
P
ZT
Bg 00504
.
0
=
Bo
rs
Boi= Bti
P
Bg
0
1
P
0 Pi
25. Applied Reservoir Engineering : Dr. Hamid Khattab
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
PVT data for gas and oil reservoirs
Undersaturated oil reservoirs
saturated undersat.
P1 > Pb
Bt
µo
rsi=c
Bo
rs
Bg
1
0
26. Applied Reservoir Engineering : Dr. Hamid Khattab
Laboratory measurment of PVT data
Laboratory measurment of PVT data
Laboratory measurment of PVT data
Laboratory measurment of PVT data
Gas
Gas
SCF
Oil
P
Oil
Oil
P
Oil
Oil
SCF
STB
undersaturated
saturated
Pb P > Pb Pi
P = 14.7 psi
T = 60o F
27. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
1. Gas reservoir without bottom water drive
p
G
T
∆ ( ) gi
p B
G
G −
gi
GB
( )
i
p
p∠
i
p
g
p B
G
G =
∴
( ) g
p
gi B
G
G
GB −
=
1
gi
g B
B
G
−
=
∴ 1
28. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
1. Gas reservoir without bottom water drive
Example 4 :
psi
P SCF
G p SCF
bbl
g
B Z G
201.6
0.81
0.00084
12
3900
0x106
0.83
0.00077
0x10-6
4000
p
G
195.2
0.77
0.00095
37
3700
200.2
0.79
0.00089
27
3800 .
const
G ≠
Solution :
199.7
0.75
0.00107
58
3600
Using eq. (1)
29. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
MBE as an equation of a straight line
y1
( ) g
p
gi B
G
G
GB −
=
( )
B
B
G
B
G
∴ 2
g
p B
G
G
y1
( )
gi
g
g
p B
B
G
B
G −
=
∴
Another form:
2
gi
g B
B −
x1
( )
−
=
i
p
p
T
Z
p
ZT
G
p
ZT
G 00504
.
0
00504
.
0 Z
Gp
y2
i
p
p
p
p
−
=
∴ i
Z
Z
G
G
Z
3
p
p
G
=
∴
i
p
p
p
G
G
p 3
i
i P
Z
p
Z −
x2
30. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Another form:
( ) g
p
gi B
G
G
GB −
=
( )
Z
Z
p
i
i
Z
p
( )
−
=
p
Z
G
G
G
p
Z
p
i
i
00504
.
0
00504
.
0
p
G
P
Z
y3 i
i
GZ
p
p
p
p
i
i
p
Z
p
G
G
Z
P
−
=
∴ 1
G
p
i
i
i
i
G
GZ
p
Z
p
Z
p
−
=
∴
at p
G
x3
G
0
0
=
Z
p
p
G
G =
p
31. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Example 5 :
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Solve the previous example using MBE as a straigh line
Solution :
p P
Z i
i P
Z
p
Z −
g
p B
G
gi
g B
B − Z
P p
G
12
4441
1.75
2.25
1.068
0.00005
3900
0x10-6
4819
― x10-5
2.075x10-4
―x104
―
4000
37
3896
5.91
2.66
3.515
0.00018
3700
27
4177
3.15
2.39
2.403
0.00012
3800
x3
y3
x2
y2
y1
x1
56
3421
8.09
2.88
5.990
0.00030
3600
From Figgers STB
G 6
10
200×
=
32. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
2.Gas reservoir with bottom water drive
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
R
p
G
p
W
T
∆
∴
Assuming =0 causes an increase in G continuously
33. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
MBE as a straight line
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
F/
45o
∴
N
∴
/
Assuming is known
33
34. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
A i i h k b d i h h f ll i
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Example 6 :
A gas reservoir with a known bottom water drive has the following
data: =0 and
B
0x10-6
0.00093
0x109
4000
0
We bbl
T years psi
P SCF
G p SCF
bbl
g
B
7.490
0.00107
72.33
3800
2
2.297
0.00098
27.85
3900
1
13.308
0.00117
113.85
3700
3
18.486
0.00125
151.48
3600
4
34
Calculate the original gas in place
35. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Tyear F Eg F/Eg x109 We/Eg x109
Solution
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Tyear F Eg F/Eg x10 We/Eg x10
1 27.2x106 0.00005 546 45.93
2 77.39 0.00014 553 53.04
3 133.20 0.00024 555 55.44
4 189.35 0.00032 554 54.25
F/E
F/E
g
45
From Fig: G=500x109 SCF
G=500x109
We/Eg
36. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Gas Cap Expansion an Shrinkage
G
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Gpc
gas
GOC
Gpc
expansion
GOC
GOC
Oil
shrinkage
Oil
Shrinkage due to: poor planning or accident and corrosion
g p p g
- Assume gas cap expansion = (G-Gpc).Bg-GBgi
Assume gas cap shrinkage = GB (G Gp )B
- Assume gas cap shrinkage = GBgi - (G-Gpc)Bg
Gpc: gas produced from the gas cap and my be = zero
37. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Example: 7
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Calculate the gas cap volume change if G=40x109 SCF
P Gpc x109 Bg
4000 0 0.0020
3900 4 0 0022
3900 4 0.0022
3800 7 0.0025
3700 10 0.0028
3600 13 0.0031
3500 17 0.0035
38. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Solution
Calculation of original gas in place by MBE
Calculation of original gas in place by MBE
Assuming gas cap expansion = (G-Gpc).Bg-Ggi
Pressure Gas cap change x103 type
4000 - -
3900 -800 shrinkage
3800 +2500 expansion
3800 +2500 expansion
3700 +4000 expansion
3600 +3700 shrinkage
3500 +5000 expansion
Shrinkage at P=3600 may be due PVT or Gp data
Shrinkage at P=3600 may be due PVT or Gpc data
39. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
a) Under-saturated oil reservoirs
Characteristics
P>P
- P>Pb
- No free gas, no Wp
- Large volume
Limited K
- Limited K
- Low flow rate
- Produce by Cw and Cf
40. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
1- Under-saturated oil reservoirs without bottom water
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Np
NBoi
P P
(N-Ni)Bo
P>P
Pi>Pb
P>Pb
neglecing Cw and Cf
NBoi=(N-Np)Bo
o
p B
N
N
∴ (1)
oi
o
p
B
B
N
−
=
∴ (1)
41. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Example: 8
C l l t th i i l il i l i t d i d l ti C
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Calculate the original oil in place assuming no water drive and neglecting Cw
and Cf using the following data
P Np x106 Bo
4000 0 1.40
3800 1 535 1 42
3800 1.535 1.42
3600 3.696 1.45
3400 7.644 1.49
3200 9.545 1.54
42. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Solution
Pressure NpBo x106 Bo-Boi N x106
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
4000 - - -
3800 2.179 0.02 108.95
3600 5 539 0 05 110 78 const
N ≠
3600 5.539 0.05 110.78
3400 11.389 0.09 126.64
3200 14.699 0.14 104.99
rearrange MBE as a straight line
NBoi = (N-Np)Bo
F
F = NEo
From Fig:
6
N
STB
x
N 6
10
110
≠
Eo
43. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
o.b.p=1 psi/ftD
Considering Cw and Cf
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
- overburden pressure = 1 psi/ftD
- rock strength = 0.5 psi/ftD
r s rv ir pr ssur 0 5 psi/ftD
- reservoir pressure = 0.5 psi/ftD
o.b.p
44. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Considering Cw and Cf
NBoi
Vp
B
N
N
NB f
w
o
p
oi ∆
+
−
= )
( ,
Pi>Pb
dp
V
C
dVp
dVp
C
Vp
Vp
Vp
f
f
w
f
w
→
∆
+
∆
=
∆
1
,
(N-Np)Bo
dVp
dp
V
C
dVp
dp
V
C p
f
f
f
p
f =
→
=
1
.
P>Pb
∆Vp,,w
V
dp
V
C
dVp
dp
dVp
V
C w
w
w
w
w
w =
→
= .
1
dp
V
S
C
dVp
V
S
V
V
V
S p
w
w
w
p
w
w
p
w
w =
→
=
→
=
45. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Considering Cw and Cf
dp
V
C
S
C
dVp p
f
w
w
w
f +
=
∴ )
(
,
S
NB
Vp
S
Vp
NB
w
oi
w
oi
−
=
→
−
=
)
1
(
)
1
(
dp
NB
S
C
S
C
dVp oi
f
w
w
w
f
−
+
=
∴ )
1
(
,
p
NB
S
C
S
C
B
N
N
NB
S
oi
f
w
w
o
p
oi
w
∆
+
+
−
=
∴ )
1
(
)
(
1
S
oi
w
o
p
oi
−
1
46. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
B
N
N
o
p
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Considering Cw and Cf
B
B
p
B
S
C
S
C
B
B
N
oi
w
f
w
w
oi
o
o
p
∆
−
+
+
−
=
∴
)
1
(
B
N
B
N
N
p
B
C
B
B
p
B
B
B
C
o
p
o
p
oi
o
oi
o
oi
oi
o
o
=
=
∴
∆
=
−
→
∆
−
=
Q
S
S
where
p
B
S
C
S
C
S
S
C
p
B
S
C
S
C
C
N
w
o
oi
w
f
w
w
w
o
o
oi
w
f
w
w
o
−
=
∆
−
+
+
−
∆
−
+
+
∴
1
]
1
1
[
]
1
[
p
B
S
C
S
C
S
C
B
N
N
oi
f
w
w
o
o
o
p
w
o
∆
+
+
=
∴
]
1
[
p
C
B
B
N
N
S
e
oi
o
p
w
∆
=
−
1
(2)
47. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Considering Cw and Cf
P
P
P i −
=
∆
Pi
Pi
V
V
dP
dV
V
C
oi
o −
=
1
.
1
P
B
B
B
C
oi
oi
o
o
∆
−
=
Pi
B
B
P
P
V
V
V
oi
o
i
i
oi
−
−
−
=
)
(
1
.
1
Voi
Vo
P
B
oi
o
oi ∆
=
)
(
.
)
salinity
and
,
,
(
)
(
s
w
f
r
T
P
f
C
f
C
=
= φ
From the following charts
48. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
49. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Example: 9
l l ( ) d h ff f d
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Solution
Solve example (8) considering the effect of Cw and Cf
R1(Fig 2)
r (Fig 1)
C (Fig 4)
∆P=(Pi P)
P
B
B
C oi
o −
=
18
2.9x10-6
―
―
4000
R1(Fig.2)
rsf(Fig.1)
Cwp(Fig.4)
∆P=(Pi-P)
P
p
B
C
oi
o
∆
=
0.85
16.8
2.95
8.928
400
3600
17.2
2.93
7.143x10-5
200
3800
15.2
3.00
12.500
800
3200
16
2.98
10.714
600
3400
50. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Continue
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Cw=CwpxR2
R2 (Fig.3)
rs= rsf x R1
P
w
f
w
w
o
o
S
C
S
C
S
C
−
+
+
1
7.725x10-5
3.311
1.13
14.62
3800
―
3.30x10-6
1.4
15.3
4000
13.569
3.289
1.104
13.60
2400
9.570
3.247
1.11
14.28
3600
13.143
3.17
1.09
12.92
3200
51. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Continue
B
N
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
p
C
B
B
N
N
e
oi
o
p
∆
=
P NpBo NBoiCe∆P N
4000 ― ― ―
3800 2.179x016 0.0218 108.2x106
3600 5.359 0.0536 107.9
N ≠ C
3400 11.389 0.1131 106.5
3200 14 699 0 1470 105 1
3200 14.699 0.1470 105.1
52. Applied Reservoir Engineering : Dr. Hamid Khattab
C l l ti f i i l il i l b MBE
C l l ti f i i l il i l b MBE
Use MBE as a straight line as follows:
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
P
C
NB
B
N e
oi
o
p ∆
=
B
N
F
Plot the fig
o
NE
F = o
p B
N
F =
6
10
100×
=
N
Plot the fig. 10
100×
=
N
STB
N 6
10
100×
=
P
C
B
E ∆P
C
B
E e
oi
o ∆
=
53. Applied Reservoir Engineering : Dr. Hamid Khattab
U d t t d il i ith b tt t
U d t t d il i ith b tt t
Undersaturated oil reservoir with bottom water
Undersaturated oil reservoir with bottom water
p
N
p
W p
W
(N-Np)Bo
NBoi
P>Pb
Pi>Pb
Assuming (We) is known and neglect Cw+Cf
( ) ( )
B
w
W
B
N
N
NB −
+
−
= ( ) ( )
( )
i
w
p
e
o
p
w
p
e
o
p
oi
B
B
B
w
W
B
N
N
B
w
W
B
N
N
NB
−
−
−
=
∴
+
=
oi
o B
B
Assuming We=0 will cuse an increase in (N)
54. Applied Reservoir Engineering : Dr. Hamid Khattab
U d t t d il i ith b tt t
U d t t d il i ith b tt t
Undersaturated oil reservoir with bottom water
Undersaturated oil reservoir with bottom water
Example 11 :
Using the following data in the undersaturated oil reservoir with a
known (We), neglecting Cw & Cf calculate (N): wp= 0
P Np Bo We
4000 ―x106 1.40 ―x106
3800 2.334 1.45 1.135
3600 5 362 1 42 2 416
3600 5.362 1.42 2.416
3400 10.033 1.49 3.561
3200 12 682 1 54 4 832
3200 12.682 1.54 4.832
55. Applied Reservoir Engineering : Dr. Hamid Khattab
U d t t d il i ith b tt t
U d t t d il i ith b tt t
Undersaturated oil reservoir with bottom water
Undersaturated oil reservoir with bottom water
Solution :
Solution :
( )
oi
o
w
p
e
o
p
B
B
B
w
W
B
N
N
−
−
−
=
P NpBo Bo-Boi N
4000 106 106
4000 ―x106 ― ―x106
3800 3.314 0.02 108.5
3600 7 775 0 05 107 1 N ≠ C
3600 7.775 0.05 107.1
3400 14.950 0.09 126.5
3200 19 531 0 14 105 0
N ≠ C
3200 19.531 0.14 105.0
56. Applied Reservoir Engineering : Dr. Hamid Khattab
U d t t d il i ith b tt t
U d t t d il i ith b tt t
E
F
Rearrange MBE as a straight line
Undersaturated oil reservoir with bottom water
Undersaturated oil reservoir with bottom water
o
E
o
45
[ ] e
i
o
w
p
o
p W
B
B
N
B
W
B
N +
−
=
+ 0
W
E
N
F +
=
110
=
N
e
o W
E
N
F +
=
o
e
o E
W
N
E
F +
=
∴
o
e E
W
[ ]
i
o
o B
B
E 0
−
= o
e E
W
p o
E
F
o
p B
N
F =
[ ]
i
o
o 0
48 32
155 5
7 775
0 05
3600
56.75
165.7
3.314
0.02
3800
― x10-6
―
― x10-6
―
4000
p p
34.51
139.5
19.531
0.14
3200
39.56
166.4
14.980
0.09
3400
48.32
155.5
7.775
0.05
3600
57. Applied Reservoir Engineering : Dr. Hamid Khattab
Undersaturated oil reservoir with bottom water
Undersaturated oil reservoir with bottom water
Example 11 :
Solve examole (10) considering Cw and Cf effect
Solution :
So ut on
Cw, Co, Cf and Ce are the same as example (9)
P
e
oi
e
o
e
C
B
W
E
W
∆
=
P
e
oiC
B ∆
P
e
oi
o
P
o C
B
B
N
E
F
∆
=
P
∆
e
C
P
45.07
145.06
0.0536
400
9.570
3600
52.06 x106
152.01 x106
0.0218
200
7.785
3800
―
―
―
―
― x10-5
4000
32.87
132.86
0.1470
800
13.143
3200
31.26
131.25
0.1139
600
13.568
3400
45.07
145.06
0.0536
400
9.570
3600
F
o
E
F
o
45
P
i
e
e
C
B
W
E
W
∆
=
P
i
o
P
C
B
B
N
E
F
∆
=
Plot vs
6
10
100 ×
=
N
o
e E
W
P
e
oi
o C
B
E ∆
P
e
oi
o C
B
E ∆
As in Fig. 6
10
100×
=
N
58. Applied Reservoir Engineering : Dr. Hamid Khattab
B S t t d il i
B S t t d il i
B. Saturated oil reservoirs
B. Saturated oil reservoirs
1 D l ti d i i
1. Depletion drive reservoirs
Characteristics
b
P
P ≤
• b
0
=
• p
W
rapidly
increases
Rp
•
F
R
low .
•
59. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
p
G
p
N
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
T
∆
oi
NB ( ) o
p B
N
N −
p
Free gas
( )
b
i P
P≤
Free gas
p
( ) gas
free
B
N
N
NB o
p
oi +
−
=
( ) SCF
R
N
r
N
N
Nr
gas
free p
p
s
p
si −
−
−
=
( ) ( )
[ ] g
p
p
s
p
si
o
p
oi B
R
N
r
N
N
Nr
B
N
N
NB −
−
−
+
−
=
∴
( )
[ ]
( )
[ ]
( ) g
s
si
oi
o
g
s
p
o
p
B
r
r
B
B
B
r
R
B
N
N
−
+
−
−
+
=
∴
60. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Example 12 :
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Calucaltion (N) for a depletion drive reservoir has the following data : Swi=30%
91 50
614
0 001273
1 423
674
3 87
3800
― x106
718
0.001041
1.492
718
― x106
4000
N
rs
Bg
Bo
RP
NP
P
ion
96.01
400
0.002200
1.286
3077
6.44
3400
96.02
510
0.001627
1.355
1937
5.26
3600
91.50
614
0.001273
1.423
674
3.87
3800
Solut
96.01
400
0.002200
1.286
3077
6.44
3400
As shown N ≠ const., so rearrange MBE as a straight line
61. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
( )
[ ] ( )
[ ]
g
s
si
oi
o
g
s
p
o
p B
r
r
B
B
N
B
r
R
B
N −
+
−
=
−
+
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
o
E
N
F =
Solution :
P F Eo
4000 0 106 0
Solution
F
4000 0x106 0
3800 5.802 0.0634
3600 19 339 0 2014
6
10
96×
=
N
3600 19.339 0.2014
3400 46.124 0.4804
6
o
E
STB
N
Fig
From 6
10
96
: ×
=
o
62. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
( ) g
s
si
oi
o
p B
r
r
B
B
N
F
R
−
+
−
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
( )
( ) g
s
p
o
g
s
si
oi
o
p
B
r
R
B
N
F
R
−
+
=
=
.
( )
P
R
P
f
F
R &
. = ( )
P
R
P
f
F
R &
.
P
R
F
R 1
. ∝
To increase R.F:
• Working over high producing GOR wells
Working over high producing GOR wells
• Shut-in ,, ,, ,, ,, ,,
• Reduce (q) of ,, ,, ,, ,,
R i j t f d d
• Reinject some of gas produced
63. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Example 13 :
For example 12 at P=3400 psi calculate: S and R F without Gi and
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
Solution :
For example 12, at P 3400 psi calculate: Sg and R.F without Gi and
with Gi=60 Gp
gas
free
S =
( )
[ ]
i B
R
N
r
N
N
Nr
gas
free −
−
−
=
volume
pore
S g =
( )
[ ] g
p
p
s
p
si B
R
N
r
N
N
Nr
gas
free
( )
bbls
6
6
6
6
10
05
.
28
0022
.
0
3077
10
44
.
6
406
10
44
.
6
96
718
10
96
×
=
×
×
×
−
×
×
−
−
×
×
=
3077
10
44
.
6
( )
bbls
S
NB
volume
pore
w
oi 6
6
10
62
.
204
3
.
0
1
492
.
1
10
96
)
1
(
×
=
−
×
×
=
−
=
( )
w )
(
%
7
.
13
137
.
0
10
62
.
204
10
05
.
28
6
6
=
=
×
×
=
∴ g
S
64. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
( ) g
s
si
oi
o B
r
r
B
B
F
R
−
+
−
Calculation of original oil in place by MBE
Calculation of original oil in place by MBE
( )
( ) g
s
p
o
g
s
si
oi
o
G
without
B
r
R
B
F
R i
−
+
=
.
( ) 0022
.
0
406
718
492
.
1
286
.
1 ×
−
+
− ( )
( )
%
7
.
6
067
.
0
0022
.
0
406
3077
286
.
1
=
=
×
−
+
=
( )
( )
g
s
si
oi
o
G
with
B
r
R
B
B
r
r
B
B
F
R i
−
+
−
+
−
=
%
60
.
( )
( ) 0022
0
406
3077
4
0
286
1
0022
.
0
406
718
492
.
1
286
.
1
×
−
×
+
×
−
+
−
=
( ) g
s
p
o B
r
R
B +
( )
%
49
.
15
1549
.
0
0022
.
0
406
3077
4
.
0
286
.
1
=
=
×
×
+
65. Applied Reservoir Engineering : Dr. Hamid Khattab
2 Gas Cap reservoir
2 Gas Cap reservoir
2. Gas Cap reservoir
2. Gas Cap reservoir
Characteristics
• P falls slowly
• No Wp
• High GOR for high structure wells
• R.F > R.Fdepletion
• Ultimate R.F ∝ Kv, gas cap size, 1/µo, 1/qo
Ultimate R.F ∝ Kv, gas cap size, 1/µo, 1/qo
66. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
p
N
p
G
gi
GB
(N-Np)Bo
free gas
oi
NB
gi
oi
gi
NB
B
m =
( ) gas
free
B
N
N
NB
GB o
p
oi
gi +
−
=
+
P>Pb
i
P
[ ] ( ) p
p
s
p
si R
N
r
N
N
G
Nr
gas
free −
−
−
+
=
( )
[ ]
g
s
p
o
p B
r
R
B
N
N
−
+
=
∴
( ) ( )
gi
g
gi
oi
g
s
si
oi
o B
B
B
B
m
B
r
r
B
B
N
−
+
−
+
−
∴
( ) ( )
oi
B
R
N
N
N
mNB
N
B
N
N
NB
NB
+
+
+
∴ ( ) ( ) g
p
p
s
p
gi
oi
si
o
p
oi
oi B
R
N
r
N
N
B
Nr
p
B
N
N
NB
mNB
−
−
−
+
+
−
=
+
∴
This equation contains two unknown (m and N)
67. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Rearrange MBE to give a straight line equation
( )
[ ] ( )
[ ] ( )
gi
g
oi
g
s
si
oi
o
g
s
p
o
p B
B
B
mNB
B
r
r
B
B
N
B
r
R
B
N −
+
−
+
−
=
−
+ g
g
gi
g
g
p
p
B
E
F
g
o GE
NE
F +
=
o
E
G
o
g
o E
E
G
N
E
F
+
=
∴
N
N
o
g E
E
68. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Example 14 :
Calculate (N) and (m) for the following gas cap reservoir
P Np Rp Bo rs Bg
4000 ―x106 510 1.2511 510 0.00087
3900 3.295 1050 1.2353 477 0.00092
3800 5 905 1060 1 2222 450 0 00096
3800 5.905 1060 1.2222 450 0.00096
3700 8.852 1160 1.2122 425 0.00101
3600 11.503 1235 1.2022 401 0.00107
3500 14.513 1265 1.1922 375 0.00113
3400 17.730 1300 1.1822 352 0.00120
69. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Solution :
+
=
∴ g
E
E
G
N
E
F
P F Eo Eg F/Eo Eg/Eo
+
∴
o
o E
G
N
E
4000 ―x106 0 0 ―x106 ―
3900 5.807 0.0145 0.00005 398.8 0.0034
3800 10.671 0.0287 0.00009 371.8 0.0031
3700 17.302 0.0469 0.00014 368.5 0.0029
3600 24.094 0.0677 0.00020 355.7 0.0028
3500 31.898 0.09268 0.00026 340.6 0.0027
3400 41 130 0 1207 0 00033 340 7 0 0027
3400 41.130 0.1207 0.00033 340.7 0.0027
70. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
F
o
E
9
10
826 ×
=
G
From Fig.
N = 115 x 106 STB
6
10
115 ×
=
N 10
115 ×
N
o
g E
E
2511
1
10
115 6
×
×
×
m
mNB
00087
.
0
2511
.
1
10
115
10
826 9 ×
×
×
=
=
×
=
m
B
mNB
G
gi
oi
5
0
∴ 5
.
0
=
∴m
71. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Another solution
Assume several values of (m) until the straight line going
through the origin as follows:
g
o GE
NE
F +
=
mNB
g
gi
oi
o E
B
mNB
NE +
=
+
= g
gi
oi
o E
B
mB
E
N
F
72. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
oi
E
mB
E +
F
P
m = 0.6
m = 0.5
m = 0.4
g
gi
oi
o E
B
E +
0 106
0 093
0 081
10 671
3800
0.057
0.051
0.043
5.807
3900
0
0
0
0x106
4000
0 240
0 211
0 183
24 094
3600
0.167
0.147
0.127
17.302
3700
0.106
0.093
0.081
10.671
3800
0.405
0.358
0.311
41.130
3400
0.318
0.244
0.243
31.898
3500
0.240
0.211
0.183
24.094
3600
73. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
F
From Fig.
m = 0 5
m = 0.5
N = 115 x 106 STB
oi
E
mB
E + g
gi
oi
o E
B
E +
74. Applied Reservoir Engineering : Dr. Hamid Khattab
3. Water drive reservoirs
3. Water drive reservoirs
Edge water Bottom water
Finite Infinite Finite Infinite
Oil Oil
Water
W W
Water
75. Applied Reservoir Engineering : Dr. Hamid Khattab
3. Water drive reservoirs
3. Water drive reservoirs
Characteristics
-P decline very gradually
-Wp high for lower structure wells
-Low GOR
-R.F > R.Fgac cap > R.Fdepletion
76. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
(N-Np)Bo
NBoi free gas
( ) ( ) gas
free
B
w
W
B
N
N
NB w
p
e
o
p
oi +
−
+
−
=
( ) p
p
s
p
si R
N
r
N
N
Nr
gas
free −
−
−
=
( ) ( ) ( )
[ ]
( )
[ ] ( )
B
w
W
B
r
R
B
N +
( ) ( ) ( )
[ ] g
p
p
s
p
si
w
p
e
o
p
oi B
R
N
r
N
N
Nr
B
w
W
B
N
N
NB −
−
−
+
−
+
−
=
∴
( )
[ ] ( )
( ) g
s
si
oi
o
w
p
e
g
s
p
o
p
B
r
r
B
B
B
w
W
B
r
R
B
N
N
−
+
−
−
−
−
+
=
∴
77. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Rearrange MBE as an equation of a straight line:
( )
[ ] ( )
[ ] e
g
s
si
oi
o
w
p
g
s
p
o
p W
B
r
r
B
B
N
B
w
B
r
R
B
N +
−
+
−
=
+
−
+
∴
e
o W
E
N
F +
=
o
e
o E
W
N
E
F
+
=
∴
o
o
78. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Example 15 :
Calculate (N) for the following bpttom water drive reservoir of
known (We) value:
P Np Bo Rs Rp Bg We
4000 0x106 1.40 700 700 0.0010 0x106
3900 3.385 1.38 680 780 0.0013 3.912
3800 10.660 1.36 660 890 0.0016 13.635
3700 19.580 1.34 630 1050 0.0019 23.265
3600 27.518 1.32 600 1190 0.0022 44.044
79. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
Solution :
o
e
o E
W
N
E
F +
=
P F Eo F/Eo We/Eo
4000 ―x106 ― ―x106 ―x106
3900 5.111 0.006 851.89 652
3800 18.420 0.024 767.52 568
3700 41.862 0.073 573.45 373.5
3700 41.862 0.073 573.45 373.5
3600 72.042 0.140 514.38 314.6
o
E
F
o
o
45
From Fig.
6
10
200 ×
=
N
o
e E
W
N = 200 x 106
80. Applied Reservoir Engineering : Dr. Hamid Khattab
4. Combination drive reservoir
4. Combination drive reservoir
Characteristics:
I W f l t t ll
-Increase Wp from low structure wells
-Increase GOR from high structure wells
-Relativity rapid decline of P
y p f
-R.F > R.Fwater influx
81. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
free gas
i
GB gi
GB
(N-Np)Bo
oi
gi
NB
GB
m =
oi
NB
gi
Pi
( ) ( ) gas
free
B
w
W
B
N
N
GB
NB w
p
e
o
p
gi
oi +
−
+
−
=
+
( ) R
N
N
N
N
G
f
P<Pi
Pi
( ) p
p
s
p
si R
N
r
N
N
Nr
G
gas
free −
−
−
+
=
( ) ( )
( )
[ ]
w
p
e
o
p
oi
oi B
w
W
B
N
N
mNB
NB −
+
−
=
+
∴
( )
[ ] ( )
B
w
W
B
r
R
B
N −
−
−
+
( )
[ ] g
p
p
s
p
si B
R
N
r
N
N
Nr −
−
−
+
( )
[ ] ( )
( ) ( )
gi
g
gi
oi
g
s
si
oi
o
w
p
e
g
s
p
o
p
B
B
B
mB
B
r
r
B
B
B
w
W
B
r
R
B
N
N
−
+
−
+
−
+
=
∴
82. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
y
y
This equation includes 3 unknown (We, m & N)
Rearange this equation as a straight line equation
( )
[ ] ( )
[ ] ( ) e
gi
g
oi
g
s
si
oi
o
w
p
g
s
p
o
p W
B
B
B
mB
N
B
r
r
B
B
N
B
w
B
r
R
B
N +
−
+
−
+
−
=
+
−
+
∴
g q g q
( )
[ ] [ ] ( )
g
g
gi
g
p
g
p
p
B
e
g
oi
o W
E
B
mB
E
N
F +
+
= g
gi
B
e
mB
W
N
mB
F
+
=
∴
g
gi
oi
o E
B
mB
E
F
+
o
45
g
gi
oi
o
g
gi
oi
o E
B
mB
E
E
B
mB
E +
+
45
N
If We is assumed to be known and m is calculated
by geological dat. N can be obtained
g
gi
oi
o
e
E
B
mB
E
W
+
N
83. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
Example 16 :
y
y
Calculate the original oil in place (N)for the following combination drive
reservoir assuming that m=0.5 and values of (We) are given:
P Np Bo rs Rp Bg We
4000 0x106 1 351 600 600 0 00100 0x106
4000 0x106 1.351 600 600 0.00100 0x106
3800 4.942 1.336 567 1140 0.00105 0.515
3600 8.869 1.322 540 1150 0.00109 1.097
3400 17.154 1.301 491 1325 0.00120 3.011
84. Applied Reservoir Engineering : Dr. Hamid Khattab
Calculation of OOIP by MBE
Calculation of OOIP by MBE
Solution :
y
y
―
―
―
―
0x106
4000
Eo
F
P g
gi
oi
o E
B
mB
E
F
+ g
gi
oi
o
e
E
B
mB
E
W
+
g
gi
oi
o E
B
mB
E +
13 95
183 95
0 2159
0 0808
39 715
3400
11.29
181.29
0.0972
0.0364
17.622
3600
9.66x106
179.66x106
0.0533
0.0196
9.576
3800
0x10
4000
13.95
183.95
0.2159
0.0808
39.715
3400
g
i
oi
o E
B
mB
E
F
+
F F gi
B
o
45
From Fig.
STB
N 6
10
170×
=
g
gi
oi
o
e
E
B
mB
E
W
+
6
10
170 ×
=
N
85. Applied Reservoir Engineering : Dr. Hamid Khattab
Uses of MBE
¾ Calculation of (N), (G) and (We)
¾ Prediction of future performance
Difficulties of its application
Difficulties of its application
¾ Lackof PVT data
¾ Assume constant gas composition
¾ Production data (NP, GP and WP)
¾ Pi and We calculations
Limitation of MBE application
¾ Thick formation
¾High permeability
¾High permeability
¾ Homogeneous formation
¾ Low oil viscosity
¾N ti t d i
¾No active water drive
¾ No large gas cap
86. Applied Reservoir Engineering : Dr. Hamid Khattab
S l ti f PVT d t f MBE ppli ti s
Selection of PVT data for MBE applications
Depletion drive flash
Gas cap drive differential
C bi ti (fl h diff )
rs
Combination (flash + diff.)
Water drive flash
Low volatile oil differential
rs
High volatile oil flash
Moderate volatile (flash + diff.)
p
p
dif
flash f
f
87. Applied Reservoir Engineering : Dr. Hamid Khattab
Water in flux
Due to: Cw, Cf and artesian flow
We
Oil
Bottom water Edge water Linear flux
Oil
Oil
water
W
W
water
88. Applied Reservoir Engineering : Dr. Hamid Khattab
Flow regimes
Steady state semi-steady state Unsteady state
Outer boundary condition
Infinite Limited
Infinite Limited
89. Applied Reservoir Engineering : Dr. Hamid Khattab
Steady state water influx
- Open external boundary
- ∆P/∆r = C with time
- qe=qw=C with time
- Strong We
- Steady state equation (Darcy law)
y q ( y )
pe
qw qe
pw
r
rw
re
r
90. Applied Reservoir Engineering : Dr. Hamid Khattab
Hydraulic analog
Hydraulic analog
( )
∝
∆
∝
P
P
dt
dW
P
q Pi
( )
( )
( )
∑ ∆
−
=
−
∝
P
P
k
W
P
P
k
dt
dW
P
P
dt
dW
i
e
i
e
Pw
( )
∑ ∆
−
= t
P
P
k
W i
e
x
screen sand
q
constant
influx
water
:
k
( ) curve
(Pust)
under
area
:
∑ ∆
− t
P
Pi
C l l f K
Calculation of K:
Water influx rate = oil rate + gas rate + water prod. rate
dW
dN
dN
dW
)
(
)
( P
P
k
B
dt
dW
B
r
R
dt
dN
B
dt
dN
dt
dW
i
w
P
g
s
p
P
o
P
e
−
=
+
−
+
=
91. Applied Reservoir Engineering : Dr. Hamid Khattab
Example :
C l l t K i th f ll i d t P 3500 i P 3340
Calculate K using the following data: Pi=3500 psi, P=3340
(Bo=0.00082 bbl/SCF), Qw=0, Bw=1.1 bbl/STB and Qo=13300 STB/day
Solution :
psi
day
bbl
k
day
bbl
dt
dWe
/
/
130
)
3340
3500
(
20800
/
20800
0
00082
.
0
)
700
900
(
13300
4
.
1
13300
=
=
∴
=
+
×
−
×
+
×
=
)
3340
3500
( −
Pi
t1 t2 t3 t4
∆t1 ∆t2 ∆t3 ∆t4
A1 A2 A3 A4
Calculation of ( )
∑ ∆
− t
P
Pi
P1
A1 A2 A3 A4
( )
( )
1
1
4
3
2
1
2
t
P
P
A
A
A
A
t
P
P
i
i
∆
−
=
+
+
+
=
∆
−
∑
P2
P3
( ) ( )
( ) ( )
3
2
2
2
1
2
t
P
P
P
P
t
P
P
P
P
i
i
i
i
∆
−
+
−
+
∆
−
+
−
+
P3
P4
( ) ( )
4
4
3
3
2
2
t
P
P
P
P
t
i
i
∆
−
+
−
+
∆
+
92. Applied Reservoir Engineering : Dr. Hamid Khattab
Example :
The pressure history of a steady-state water drive reservoir is
given as follows:
Tdays : 0 100 200 300 400
Ppsi : 3500 3450 3410 3380 3340
If k=130 bbl/day/psi,
calculate We at 100, 200,300 & 400 days
e , , y
94. Applied Reservoir Engineering : Dr. Hamid Khattab
Semi
Semi-
-steady
steady-
-state water influx
state water influx
Semi
Semi steady
steady state water influx
state water influx
As the water drains from the aquifer, the aquifer radius (re)
increases with time, there for (re/rw) is replaced by a time
increases with time, there for (re/rw) is replaced by a time
dependent function (re/rw)→at
P
P
C
P
P
C
P
P
kh
dW × −
)
(
)
(
)
(
10
08
7 3
P
P
C
dW
at
n
P
P
C
r
r
n
P
P
C
r
r
n
P
P
kh
dt
dW i
w
e
w
e
w
e
w
e
e −
→
−
=
−
×
=
∴
)
(
)
(
)
(
)
(
)
(
)
(
)
(
10
08
.
7
l
l
l
µ
P
P
at
n
P
P
C
dt
dW i
e −
=
∴
)
(
)
(
)
(
l
t
at
n
P
P
C
W i
e ∆
−
=
∴ ∑ )
(
)
(
l
95. Applied Reservoir Engineering : Dr. Hamid Khattab
The two unknown constants (a and C) are determined as:
(at)
ln
C
dt
dW
P
P
e
i 1
)
(
)
(
=
−
)
(
)
(
dt
dW
P
P
e
i −
t
a
n ln
l
C
C
dt
dW
P
P
e
i 1
1
)
(
)
(
+
=
−
∴
)
( We
1
C
1
Plott this equation as a straight line:
t
ln
a
n
l
C
1
Gives slop = and intercept =
C
1
C
C
97. Applied Reservoir Engineering : Dr. Hamid Khattab
tmonth tdays ∆We/ ∆t (Pi-P) Ln t (Pi-P)/ dWe/ dt
0 0 0 0 ― ―
6 182.5 389 19 5.207 0.049
12 365 1279 84 5.900 0.066
12 365 1279 84 5.900 0.066
18 547.5 2158 150 6.305 0.070
24 780 3187 246 6.593 0.077
30 912 5 3844 308 6 816 0 081
30 912.5 3844 308 6.816 0.081
)
(
)
(
dt
dW
P
P
i −
002
.
0
1
=
C
From Fig.
)
( dt
dWe
∴C = 50
Using any point in the straight line
C
002
.
0
1
=
C
Using any point in the straight line
a = 0.064
∑
− P
P
W i
50
t
ln
∑
=
∴
ln(0.064t)
W i
e 50
98. Applied Reservoir Engineering : Dr. Hamid Khattab
Example 18:
Example 18:
Using data of example (18) calculate the cumulative water influx (We)
after 39 months (1186.25 days) where the pressure equals 3379 psi
Solution :
P
P
P
P
dt
t
a
P
P
t
a
P
P
W
W i
i
e
e
−
+
−
×
+
= 2
50
2
39
1
36
36
39
ln
ln
[ ]
3416
3793
3379
3793
3
−
−
[ ]
1095
25
.
1186
2
)
1095
064
.
0
(
3416
3793
)
25
.
1186
064
.
0
(
3379
3793
50
10
2388 3
×
×
×
+
×
×
+
×
=
ln
ln
3
3 3
3
10
508
.
420
10
2388 ×
+
×
=
bbls
3
10
2809×
=
99. Applied Reservoir Engineering : Dr. Hamid Khattab
Unsteady
Unsteady-
-state water influx
state water influx
Unsteady
Unsteady state water influx
state water influx
- P and q = C with time
- q = 0 at re, q=qmax at rw
Closed extended boundry
rw
- Closed extended boundry
- We due to Cw and Cf
100. Applied Reservoir Engineering : Dr. Hamid Khattab
Hydraulic analog
Hydraulic analog
Hydraulic analog
Hydraulic analog
Pi
P2
P1
Pw
q
x q
screen
sand sand sand