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Reservoir Simulation: Mathematical Techniques in Oil Recovery [Minkštas viršelis]

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  • Formatas: Paperback / softback, 247 pages, aukštis x plotis x storis: 229x152x10 mm, weight: 425 g, Illustrations (some col.)
  • Serija: CBMS-NSF Regional Conference Series in Applied Mathematics No. 77
  • Išleidimo metai: 30-Oct-2007
  • Leidėjas: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898716403
  • ISBN-13: 9780898716405
Kitos knygos pagal šią temą:
Reservoir Simulation: Mathematical Techniques in Oil RecoveryDidesnis paveikslėlis
  • Formatas: Paperback / softback, 247 pages, aukštis x plotis x storis: 229x152x10 mm, weight: 425 g, Illustrations (some col.)
  • Serija: CBMS-NSF Regional Conference Series in Applied Mathematics No. 77
  • Išleidimo metai: 30-Oct-2007
  • Leidėjas: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898716403
  • ISBN-13: 9780898716405
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780898716405.html
Raktažodžiai:
Chen (Department of Chemical and Petroleum Engineering, University of Calgary, Canada) covers and expands upon material he presented at a CBMS-NSF Regional Conference during a ten-lecture series on multiphase flows in porous media and their simulation. The book begins with an overview of classical reservoir engineering and basic reservoir simulation methods, then progresses through a discussion of types of flows: single-phase, two-phase, black oil (three-phase), single phase with multicomponents, compositional, and thermal. The practical aspects of reservoir simulation, such as data gathering, selection of a simulation model, history matching, and reservoir performance prediction, are summarized. A few color images are included. The book can be used as a text for advanced undergraduate and first-year graduate students in geology, petroleum engineering, and applied mathematics. It can also be used as a reference for geologists, petroleum engineers, and applied mathematicians, and as a handbook for practitioners in the oil industry. Prerequisites are calculus, basic physics, and some knowledge of partial differential equations and matrix algebra. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

List of Figures
xiii
List of Tables
xv
List of Notation
xvii
Preface xxvii
Introduction
1(6)
Petroleum Reservoir Simulation
1(1)
Classical Reservoir Engineering Methods
1(2)
Material Balance Methods
1(1)
Decline Curve Methods
2(1)
Statistical Methods
2(1)
Analytical Methods
2(1)
Reservoir Simulation Methods
3(3)
Reservoir Simulation Stages
3(1)
Reservoir Simulator Classifications
4(1)
Reservoir Simulation Applications
4(2)
SI Metric Conversion Factors
6(1)
A Glossary of Petroleum Terms
7(16)
Reservoir Rock Properties
7(2)
Reservoir Fluid Properties
9(3)
Wettability
12(1)
Fluid Displacement Processes
13(1)
Reservoir Rock/Fluid Properties
13(7)
Two-Phase Relative Permeability
15(2)
Three-Phase Relative Permeability
17(3)
Terms Used in Numerical Simulation
20(3)
Single-Phase Flow and Numerical Solution
23(44)
Basic Differential Equations
23(8)
Mass Conservation
23(2)
Darcy's Law
25(1)
Units
26(1)
Different Forms of Flow Equations
26(5)
An Analytic Solution
31(3)
Finite Difference Methods
34(17)
First Difference Quotients
34(2)
Second Difference Quotients
36(2)
Grid Systems
38(1)
Treatment of Boundary Conditions
39(2)
Finite Differences for Stationary Problems
41(1)
Finite Differences for Parabolic Problems
42(2)
Consistency, Stability, and Convergence
44(4)
Finite Differences for Hyperbolic Problems
48(3)
Numerical Solution of Single-Phase Flow
51(16)
Treatment of Initial Conditions
52(1)
Time Discretization
52(1)
Spatial Discretization
53(1)
Treatment of Block Transmissibility
53(3)
Solution Approaches in Time
56(7)
Material Balance Analysis
63(4)
Well Modeling
67(16)
Introduction
67(1)
Analytical Formulas
68(1)
Single-Layer Well Models
69(5)
Square Grids
69(2)
Extensions
71(3)
Multilayer Well Models
74(1)
Coupling of Flow and Well Equations
75(3)
Coupling of Wellbore-Hydraulics and Reservoir Models
78(5)
Single-Phase Flow
78(1)
Multiphase Flow
79(4)
Two-Phase Flow and Numerical Solution
83(20)
Basic Differential Equations
83(8)
Mass Conservation
83(1)
Darcy's Law
84(1)
Alternative Differential Equations
85(4)
Boundary Conditions
89(2)
An Analytic Solution
91(3)
Analytic Solution Before Water Breakthrough
91(1)
Analytic Solution at the Water Front
92(1)
Analytic Solution After Water Breakthrough
93(1)
Numerical Solution of Two-Phase Flow
94(9)
Treatment of Initial Conditions
95(1)
Source/Sink Terms
95(1)
Spatial Discretization
96(1)
Treatment of Block Transmissibility
97(2)
Solution Approaches in Time
99(4)
The Black Oil Model and Numerical Solution
103(28)
Basic Differential Equations
103(6)
Mass Conservation and Darcy's Law
103(3)
Rock/Fluid Properties
106(1)
Fluid Properties
107(1)
Phase States
108(1)
Numerical Solution of the Black Oil Model
109(22)
Treatment of Initial Conditions
110(2)
Simultaneous Solution Techniques
112(8)
Sequential Solution Techniques
120(4)
Iterative IMPES Solution Techniques
124(3)
Adaptive Implicit Techniques
127(1)
Well Coupling
128(3)
Transport of Multicomponents in a Fluid and Numerical Solution
131(26)
Basic Differential Equations
132(1)
Computation of Fluid Viscosity
133(1)
Equations of State
134(2)
Diffusion, Dispersion, and Tortuosity
136(12)
Fick's Law
136(1)
Impact of Tortuosity on Diffusion
137(9)
Soret Effects and Gravity Segregation
146(1)
Isothermal Gravity/Chemical Equilibrium
147(1)
Numerical Solution
148(3)
A Model Problem
148(1)
Finite Difference Equations
148(3)
Nonisothermal Flow
151(1)
Examples
152(5)
Forced Convection
152(2)
Forced Convection Plus Dispersion
154(3)
Compositional Flow and Numerical Solution
157(20)
Basic Differential Equations
157(4)
Mass Conservation and Darcy's Law
157(2)
Equations of State
159(2)
Numerical Solution of Compositional Flow
161(9)
Choice of Primary Variables
162(2)
Finite Difference Equations
164(6)
Solution of Equilibrium Relations
170(7)
Successive Substitution Method
170(1)
Newton--Raphson Flash Calculation
171(1)
Derivatives of Fugacity Coefficients
172(1)
Solution of the PR Cubic Equation
173(2)
Practical Considerations
175(2)
Nonisothermal Flow and Numerical Solution
177(16)
Basic Differential Equations
178(4)
Mass Conservation and Darcy's Law
178(1)
Energy Conservation
179(1)
Rock Properties
180(1)
Fluid Properties
181(1)
Numerical Solution of Nonisothermal Flow
182(11)
Choice of Primary Variables
183(1)
Finite Difference Equations
184(9)
Practical Topics in Reservoir Simulation
193(12)
Design of Study Objectives
193(2)
Analysis of Reservoir Data
195(3)
Geophysical Data
196(1)
Geological Data
197(1)
Engineering Data
197(1)
Development of Simulation Models
198(5)
Model Selection
198(2)
Grid Selection
200(3)
History Matching
203(1)
Prediction of Reservoir Performance
204(1)
Bibliography 205(10)
Index 215
Zhangxin Chen is Foundation CMG Chaired Professor in the Department of Chemical and Petroleum Engineering at the University of Calgary, Canada, and the Chang Jiang Chaired Professor at Xi'an Jiantong University, China.