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Tables of Contents for Geostatistical Reservoir Modeling
Chapter/Section Title
Page #
Page Count
Introduction
3
28
Plan for the Book
4
2
Key Concepts
6
4
Motivation for Reservoir Models
10
2
Data for Reservoir Modeling
12
2
An Introductory Example
14
7
Work Flow
21
10
Preliminary Statistical Concepts
31
48
Geological Populations and Stationarity
32
1
Notation and Definitions
33
8
Bivariate Distributions
41
3
Q - Q Plots and Data Transformation
44
6
Declustering
50
14
Histogram and Cross Plot Smoothing
64
1
Monte Carlo Methods and The Bootstrap
65
5
Work Flow
70
9
Gridding Reservoir Layers
79
22
Gridding for Geologic Modeling
80
5
Stratigraphic Correlation/Coordinates
85
8
Faults
93
3
Uncertainty in Reservoir Geometry
96
1
Work Flow
96
5
Quantifying Spatial Correlation
101
52
The Random Function Concept
102
3
Calculating Experimental Variograms
105
9
Interpreting Experimental Variograms
114
10
Horizontal Variograms
124
7
Variogram Modeling
131
8
Cross Variograms
139
9
Work Flow
148
5
Preliminary Mapping Concepts
153
40
Kriging
154
8
Sequential Gaussian Simulation
162
5
Direct Sequential Simulation
167
1
Indicator Formalism
168
7
P - Field Methods
175
3
Accounting for Trends
178
9
Work Flow
187
6
Cell-Based Facies Modeling
193
30
Choosing the Appropriate Method
193
3
Sequential Indicator Simulation
196
8
Truncated Gaussian Simulation
204
6
Cleaning Cell-Based Facies Realizations
210
6
Work Flow
216
7
Object-Based Facies Modeling
223
22
Background
223
6
Stochastic Shales
229
1
Fluvial Modeling
230
8
Non-Fluvial Depositional Systems
238
3
Work Flow
241
4
Porosity and Permeability Modeling
245
30
Background
246
3
Gaussian Techniques for Porosity
249
5
Porosity/Permeability Transforms
254
6
Gaussian Techniques for Permeability
260
2
Indicator Technique for Permeability
262
6
Work Flow
268
7
Simulated Annealing for Geostatistics
275
20
Background
275
2
Steps in Annealing
277
14
Problem Areas
291
2
Place of Simulated Annealing/Work Flow
293
2
Uncertainty Management
295
30
Models of Uncertainty
296
2
Cross Validation and the Jackknife
298
1
Checking Distributions of Uncertainty
299
10
How Many Realizations?
309
4
Ranking Realizations
313
3
Decision Making with Uncertainty
316
4
Work Flow
320
5
Special Topics
325
12
Scale Up from Core to Modeling Cell
326
2
Surface-Based Modeling
328
2
Multiple Point Statistics
330
1
Dynamic Data
331
1
Input to Flow Simulation
332
2
Final Thoughts
334
3
A Glossary and Notation
337
14
Glossary
337
10
Notation
347
4
Bibliography
351
21
Index
372