Geostatistical Reservoir Modeling

✍ Scribed by Clayton V. Deutsch

• Publisher: Oxford University Press, USA
• Year: 2002
• Tongue: English
• Leaves: 384
• Edition: 1st
• Category: Library

✦ Synopsis

This book brings the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasizes the interaction between geophysicists, geologists, and engineers. Intended as a reference text for practitioners, the book is also appropriate for "short courses" and advanced undergraduate or graduate courses in reservoir characterization.

✦ Table of Contents

Title......Page 1
Preface......Page 5
Acknowledgments......Page 6
Contents......Page 7
Introduction......Page 11
1-1 Plan for the Book......Page 12
1-2 Key Concepts......Page 14
1-3 Motivation for Reservoir Models......Page 18
1-4 Data for Reservoir Modeling......Page 20
1-5 An Introductory Example......Page 22
1-6 Work Flow......Page 29
Preliminary Statistical Concepts......Page 39
2-1 Geological Populations and Stationarity......Page 40
2-2 Notation and Definitions......Page 41
2-3 Bivariate Distributions......Page 49
2-4 Q-Q Plots and Data Transformation......Page 52
2-5 Declustering......Page 58
2-6 Histogram and Cross Plot Smoothing......Page 72
2-7 Monte Carlo Methods and the Bootstrap......Page 73
2-8 Work Flow......Page 78
Gridding Reservoir Layers......Page 87
3-1 Gridding for Geologic Modeling......Page 88
3-2 Stratigraphic Correlation / Coordinates......Page 93
3-3 Faults......Page 101
3-5 Work Flow......Page 104
Quantifying Spatial Correlation......Page 109
4-1 The Random Function Concept......Page 110
4-2 Calculating Experimental Variograms......Page 113
4-3 Interpreting Experimental Variograms......Page 122
4-4 Horizontal Variograms......Page 132
4-5 Variogram Modeling......Page 139
4-6 Cross Variograms......Page 147
4-7 Work Flow......Page 156
Preliminary Mapping Concepts......Page 161
5-1 Kriging......Page 162
5-2 Sequential Gaussian Simulation......Page 170
5-3 Direct Sequential Simulation......Page 175
5-4 Indicator Formalism......Page 176
5-5 P-Field Methods......Page 183
5-6 Accounting for Trends......Page 186
5-7 Work Flow......Page 195
6-1 Choosing the Appropriate Method......Page 201
6-2 Sequential Indicator Simulation......Page 204
6-3 Truncated Gaussian Simulation......Page 212
6-4 Cleaning Cell-Based Facies Realizations......Page 218
6-5 Work Flow......Page 224
7-1 Background......Page 231
7-2 Stochastic Shales......Page 237
7-3 Fluvial Modeling......Page 238
7-4 Non-Fluvial Depositional Systems......Page 246
7-5 Work Flow......Page 249
Porosity and Permeability Modeling......Page 253
8-1 Background......Page 254
8-2 Gaussian Techniques for Porosity......Page 257
8-3 Porosity / Permeability Transforms......Page 262
8-4 Gaussian Techniques for Permeability......Page 268
8-5 Indicator Techniques for Permeability......Page 270
8-6 Work Flow......Page 276
9-1 Background......Page 283
9-2 Steps in Annealing......Page 285
9-3 Problems Areas......Page 299
9-4 Place of Simulated Annealing / Work Flow......Page 301
Uncertainty Management......Page 303
10-1 Models of Uncertainty......Page 304
10-2 Cross Validation and the jackknife......Page 306
10-3 Checking Distributions of Uncertainty......Page 307
10-4 How Many Realizations ?......Page 317
10-5 Ranking Realizations......Page 321
10-6 Decision Making With Uncertainty......Page 324
10-7 Work Flow......Page 328
Special Topics......Page 333
11-1 Scale Up from Core to Modeling Cell......Page 334
11-2 Surface-Based Modeling......Page 336
11-3 Multiple Point Statistics......Page 338
11-4 Dynamic Data......Page 339
11-5 Input to Flow Simulation......Page 340
11-6 Final Thoughts......Page 342
A-1 Glossary......Page 345
A-2 Notation......Page 355
Bibliography......Page 359
Index......Page 380

✦ Subjects

Горно-геологическая отрасль;Матметоды и моделирование в геологии;