clayton v. deutsch geostatistical reservoir modeling 2002

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  • TitlePrefaceAcknowledgmentsContentsChapter 01Introduction1-1 Plan for the Book1-2 Key Concepts1-3 Motivation for Reservoir Models1-4 Data for Reservoir Modeling1-5 An Introductory Example1-6 Work Flow

    Chapter 02Preliminary Statistical Concepts2-1 Geological Populations and Stationarity2-2 Notation and Definitions2-3 Bivariate Distributions2-4 Q-Q Plots and Data Transformation2-5 Declustering2-6 Histogram and Cross Plot Smoothing2-7 Monte Carlo Methods and the Bootstrap2-8 Work Flow

    Chapter 03Gridding Reservoir Layers3-1 Gridding for Geologic Modeling3-2 Stratigraphic Correlation / Coordinates3-3 Faults3-4 Uncertainty in Reservoir Geometry3-5 Work Flow

    Chapter 04Quantifying Spatial Correlation4-1 The Random Function Concept4-2 Calculating Experimental Variograms4-3 Interpreting Experimental Variograms4-4 Horizontal Variograms4-5 Variogram Modeling4-6 Cross Variograms4-7 Work Flow

    Chapter 05Preliminary Mapping Concepts5-1 Kriging5-2 Sequential Gaussian Simulation5-3 Direct Sequential Simulation5-4 Indicator Formalism5-5 P-Field Methods5-6 Accounting for Trends5-7 Work Flow

    Chapter 06Cell-Based Facies Modeling6-1 Choosing the Appropriate Method6-2 Sequential Indicator Simulation6-3 Truncated Gaussian Simulation6-4 Cleaning Cell-Based Facies Realizations6-5 Work Flow

    Chapter 07Object-Based Facies Modeling7-1 Background7-2 Stochastic Shales7-3 Fluvial Modeling7-4 Non-Fluvial Depositional Systems7-5 Work Flow

    Chapter 08Porosity and Permeability Modeling8-1 Background8-2 Gaussian Techniques for Porosity8-3 Porosity / Permeability Transforms8-4 Gaussian Techniques for Permeability8-5 Indicator Techniques for Permeability8-6 Work Flow

    Chapter 09Simulated Annealing for Geostatistics9-1 Background9-2 Steps in Annealing9-3 Problems Areas9-4 Place of Simulated Annealing / Work Flow

    Chapter 10Uncertainty Management10-1 Models of Uncertainty10-2 Cross Validation and the jackknife10-3 Checking Distributions of Uncertainty10-4 How Many Realizations ?10-5 Ranking Realizations10-6 Decision Making With Uncertainty10-7 Work Flow

    Chapter 11Special Topics11-1 Scale Up from Core to Modeling Cell11-2 Surface-Based Modeling11-3 Multiple Point Statistics11-4 Dynamic Data11-5 Input to Flow Simulation11-6 Final Thoughts

    Appendix AGlossary and NotationA-1 GlossaryA-2 Notation

    BibliographyIndex