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Geostatistical reservoir modeling

Author: Clayton V Deutsch; Michael Pyrcz
Publisher: Oxford : Oxford University Press, [2014]
Edition/Format:   eBook : Document : English : 2nd editionView all editions and formats
Summary:

A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Deutsch, Clayton V.
Geostatistical reservoir modeling.
(DLC) 2013031615
(OCoLC)855209593
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Clayton V Deutsch; Michael Pyrcz
ISBN: 9780199358830 0199358834
OCLC Number: 868580476
Description: 1 online resource.
Contents: Machine generated contents note: 1. Introduction --
1.1. Comments on Second Edition --
1.2. Plan for the Book --
1.3. Key Concepts --
1.4. Motivation for Reservoir Models --
1.5. Data for Reservoir Modeling --
1.6. The Common Work Flow --
1.7. An Introductory Example --
1.8. Work Flow Diagrams --
2. Modeling Principles --
2.1. Preliminary Geological Modeling Concepts --
2.1.1. The Story --
2.1.2. Geological Models --
2.1.3. Geological Model Overview --
2.1.4. Basin Formation and Filling --
2.1.5. Reservoir Architecture --
2.1.6. Example Stories and Reservoir Modeling Significance --
2.1.7. Section Summary --
2.2. Preliminary Statistical Concepts --
2.2.1. Geological Populations and Stationarity --
2.2.2. Notation and Definitions --
2.2.3. Bivariate Distributions --
2.2.4. Q --
Q Plots and Data Transformation --
2.2.5. Data Transformation --
2.2.6. Declustering and Debiasing. 2.2.7. Histogram and Cross-Plot Smoothing --
2.2.8. Monte Carlo Simulation --
2.2.9. Parameter Uncertainty --
2.2.10. Bayesian Statistics --
2.2.11. Work Flow --
2.2.12. Section Summary --
2.3. Quantifying Spatial Correlation --
2.3.1. The Random Function Concept --
2.3.2. Calculating Experimental Variograms --
2.3.3. Interpreting Experimental Variograms --
2.3.4. Horizontal Variograms --
2.3.5. Variogram Modeling --
2.3.6. Cross Variograms --
2.3.7. Multiple-Point Statistics --
2.3.8. Volume Variance Relations --
2.3.9. Work Flow --
2.3.10. Section Summary --
2.4. Preliminary Mapping Concepts --
2.4.1. Kriging and Cokriging --
2.4.2. Sequential Gaussian Simulation --
2.4.3. Indicator Formalism --
2.4.4. P-Field Methods --
2.4.5. Multiple-Point Simulation --
2.4.6. Object-Based Simulation --
2.4.7. Optimization Algorithms for Modeling --
2.4.8. Accounting for Trends --
2.4.9. Alternatives for Secondary Data Integration. 2.4.10. Work Flow --
2.4.11. Section Summary --
3. Modeling Prerequisites --
3.1. Data Inventory --
3.1.1. Data Events --
3.1.2. Well Data --
3.1.3. Seismic Data --
3.1.4. Dynamic Data --
3.1.5. Analog Data --
3.1.6. Data Considerations --
3.1.7. Section Summary --
3.2. Conceptual Model --
3.2.1. Conceptual Geological Model --
3.2.2. Model Framework --
3.2.3. Modeling Method Choice --
3.2.4. Statistical Inputs and Geological Rules --
3.2.5. Work Flow --
3.2.6. Section Summary --
3.3. Problem Formulation --
3.3.1. Goal and Purpose Definition --
3.3.2. Modeling Work Constraints --
3.3.3. Synthetic Paleo-basin --
3.3.4. Modeling Work Flows --
3.3.5. Reporting and Documentation --
3.3.6. Work Flow --
3.3.7. Section Summary --
4. Modeling Methods --
4.1. Large-Scale Modeling --
4.1.1. Structure and Bounding Surfaces --
4.1.2. Identification of Regions --
4.1.3. Trend Model Construction --
4.1.4. Multivariate Mapping. 4.1.5. Summarization and Visualization --
4.1.6. Section Summary --
4.2. Variogram-Based Facies Modeling --
4.2.1. Comments on Facies Modeling --
4.2.2. Sequential Indicator Simulation --
4.2.3. Truncated Gaussian Simulation --
4.2.4. Cleaning Cell-Based Facies Realizations --
4.2.5. Work Flow --
4.2.6. Section Summary --
4.3. Multiple-Point Facies Modeling --
4.3.1. Multiple-Point Simulation --
4.3.2. Sequential Simulation with MPS --
4.3.3. Input Statistics --
4.3.4. Implementation Details --
4.3.5. Work Flow --
4.3.6. Section Summary --
4.4. Object-Based Facies Modeling --
4.4.1. Background --
4.4.2. Stochastic Shales --
4.4.3. Fluvial Modeling --
4.4.4. Nonfluvial Depositional Systems --
4.4.5. Work Flow --
4.4.6. Section Summary --
4.5. Process-Mimicking Facies Modeling --
4.5.1. Background --
4.5.2. Process-Mimicking Modeling --
4.5.3. Work Flow --
4.5.4. Section Summary --
4.6. Porosity and Permeability Modeling. 4.6.1. Background --
4.6.2. Gaussian Techniques for Porosity --
4.6.3. Seismic Data in SGS for Porosity --
4.6.4. Porosity/Permeability Transforms --
4.6.5. Gaussian Techniques for Permeability --
4.6.6. Indicator Technique for Permeability --
4.6.7. Work Flow --
4.6.8. Section Summary --
4.7. Optimization for Model Construction --
4.7.1. Background --
4.7.2. Simulated Annealing --
4.7.3. Perturbation Mechanism --
4.7.4. Update Objective Function --
4.7.5. Decision Rule --
4.7.6. Problem Areas --
4.7.7. Other Methods --
4.7.8. Work Flow --
4.7.9. Section Summary --
5. Model Applications --
5.1. Model Checking --
5.1.1. Background --
5.1.2. Minimum Acceptance Checks --
5.1.3. High-Order Checks --
5.1.4. Cross Validation and the Jackknife --
5.1.5. Checking Distributions of Uncertainty --
5.1.6. Work Flow --
5.1.7. Section Summary --
5.2. Model Post-processing --
5.2.1. Background --
5.2.2. Model Modification. 5.2.3. Model Scaling --
5.2.4. Pointwise Summary Models --
5.2.5. Joint Summary Models --
5.2.6. Work Flow --
5.2.7. Section Summary --
5.3. Uncertainty Management --
5.3.1. Background --
5.3.2. Uncertainty Considerations --
5.3.3. How Many Realizations? --
5.3.4. Summarizing Uncertainty --
5.3.5. Uncertainty Versus Well Spacing --
5.3.6. Case for Geometric Criteria --
5.3.7. Ranking Realizations --
5.3.8. Decision Making with Uncertainty --
5.3.9. Work Flow --
5.3.10. Section Summary --
6. Special Topics --
6.1. Unstructured Grids --
6.2. Continuous Variable Heterogeneity --
6.3. More Estimation Methods --
6.4. Spectral Methods --
6.5. Surface-Based Modeling --
6.6. Ensemble Kalman Filtering --
6.7. Advanced Geological Characterization --
6.8. Other Emerging Techniques --
6.9. Final Thoughts --
A. Glossary and Notation --
A.1. Glossary --
A.2. Notation.
Responsibility: Clayton Deutsch, Michael Pyrcz.

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