Pyrcz, Michael.
Geostatistical reservoir modeling / Michael J. Pyrcz, Clayton V. Deutsch. - Second edition. - vii, 433 pages ; 26 cm
Includes bibliographical references and index.
Introduction -- Comments on Second Edition -- Plan for the Book -- Key Concepts -- Motivation for Reservoir Models -- Data for Reservoir Modeling -- The Common Work Flow -- An Introductory Example -- Work Flow Diagrams -- Modeling Principles -- Preliminary Geological Modeling Concepts -- The Story -- Geological Models -- Geological Model Overview -- Basin Formation and Filling -- Reservoir Architecture -- Example Stories and Reservoir Modeling Significance -- Section Summary -- Preliminary Statistical Concepts -- Geological Populations and Stationarity -- Notation and Definitions -- Bivariate Distributions -- Q -- Q Plots and Data Transformation -- Data Transformation -- Declustering and Debiasing. Machine generated contents note: 1. 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. 1.7. 1.8. 2. 2.1. 2.1.1. 2.1.2. 2.1.3. 2.1.4. 2.1.5. 2.1.6. 2.1.7. 2.2. 2.2.1. 2.2.2. 2.2.3. 2.2.4. 2.2.5. 2.2.6. Histogram and Cross-Plot Smoothing -- Monte Carlo Simulation -- Parameter Uncertainty -- Bayesian Statistics -- Work Flow -- Section Summary -- Quantifying Spatial Correlation -- The Random Function Concept -- Calculating Experimental Variograms -- Interpreting Experimental Variograms -- Horizontal Variograms -- Variogram Modeling -- Cross Variograms -- Multiple-Point Statistics -- Volume Variance Relations -- Work Flow -- Section Summary -- Preliminary Mapping Concepts -- Kriging and Cokriging -- Sequential Gaussian Simulation -- Indicator Formalism -- P-Field Methods -- Multiple-Point Simulation -- Object-Based Simulation -- Optimization Algorithms for Modeling -- Accounting for Trends -- Alternatives for Secondary Data Integration. 2.2.7. 2.2.8. 2.2.9. 2.2.10. 2.2.11. 2.2.12. 2.3. 2.3.1. 2.3.2. 2.3.3. 2.3.4. 2.3.5. 2.3.6. 2.3.7. 2.3.8. 2.3.9. 2.3.10. 2.4. 2.4.1. 2.4.2. 2.4.3. 2.4.4. 2.4.5. 2.4.6. 2.4.7. 2.4.8. 2.4.9. Work Flow -- Section Summary -- Modeling Prerequisites -- Data Inventory -- Data Events -- Well Data -- Seismic Data -- Dynamic Data -- Analog Data -- Data Considerations -- Section Summary -- Conceptual Model -- Conceptual Geological Model -- Model Framework -- Modeling Method Choice -- Statistical Inputs and Geological Rules -- Work Flow -- Section Summary -- Problem Formulation -- Goal and Purpose Definition -- Modeling Work Constraints -- Synthetic Paleo-basin -- Modeling Work Flows -- Reporting and Documentation -- Work Flow -- Section Summary -- Modeling Methods -- Large-Scale Modeling -- Structure and Bounding Surfaces -- Identification of Regions -- Trend Model Construction -- Multivariate Mapping. 2.4.10. 2.4.11. 3. 3.1. 3.1.1. 3.1.2. 3.1.3. 3.1.4. 3.1.5. 3.1.6. 3.1.7. 3.2. 3.2.1. 3.2.2. 3.2.3. 3.2.4. 3.2.5. 3.2.6. 3.3. 3.3.1. 3.3.2. 3.3.3. 3.3.4. 3.3.5. 3.3.6. 3.3.7. 4. 4.1. 4.1.1. 4.1.2. 4.1.3. 4.1.4. Summarization and Visualization -- Section Summary -- Variogram-Based Facies Modeling -- Comments on Facies Modeling -- Sequential Indicator Simulation -- Truncated Gaussian Simulation -- Cleaning Cell-Based Facies Realizations -- Work Flow -- Section Summary -- Multiple-Point Facies Modeling -- Multiple-Point Simulation -- Sequential Simulation with MPS -- Input Statistics -- Implementation Details -- Work Flow -- Section Summary -- Object-Based Facies Modeling -- Background -- Stochastic Shales -- Fluvial Modeling -- Nonfluvial Depositional Systems -- Work Flow -- Section Summary -- Process-Mimicking Facies Modeling -- Background -- Process-Mimicking Modeling -- Work Flow -- Section Summary -- Porosity and Permeability Modeling. 4.1.5. 4.1.6. 4.2. 4.2.1. 4.2.2. 4.2.3. 4.2.4. 4.2.5. 4.2.6. 4.3. 4.3.1. 4.3.2. 4.3.3. 4.3.4. 4.3.5. 4.3.6. 4.4. 4.4.1. 4.4.2. 4.4.3. 4.4.4. 4.4.5. 4.4.6. 4.5. 4.5.1. 4.5.2. 4.5.3. 4.5.4. 4.6. Background -- Gaussian Techniques for Porosity -- Seismic Data in SGS for Porosity -- Porosity/Permeability Transforms -- Gaussian Techniques for Permeability -- Indicator Technique for Permeability -- Work Flow -- Section Summary -- Optimization for Model Construction -- Background -- Simulated Annealing -- Perturbation Mechanism -- Update Objective Function -- Decision Rule -- Problem Areas -- Other Methods -- Work Flow -- Section Summary -- Model Applications -- Model Checking -- Background -- Minimum Acceptance Checks -- High-Order Checks -- Cross Validation and the Jackknife -- Checking Distributions of Uncertainty -- Work Flow -- Section Summary -- Model Post-processing -- Background -- Model Modification. 4.6.1. 4.6.2. 4.6.3. 4.6.4. 4.6.5. 4.6.6. 4.6.7. 4.6.8. 4.7. 4.7.1. 4.7.2. 4.7.3. 4.7.4. 4.7.5. 4.7.6. 4.7.7. 4.7.8. 4.7.9. 5. 5.1. 5.1.1. 5.1.2. 5.1.3. 5.1.4. 5.1.5. 5.1.6. 5.1.7. 5.2. 5.2.1. 5.2.2. Model Scaling -- Pointwise Summary Models -- Joint Summary Models -- Work Flow -- Section Summary -- Uncertainty Management -- Background -- Uncertainty Considerations -- How Many Realizations? -- Summarizing Uncertainty -- Uncertainty Versus Well Spacing -- Case for Geometric Criteria -- Ranking Realizations -- Decision Making with Uncertainty -- Work Flow -- Section Summary -- Special Topics -- Unstructured Grids -- Continuous Variable Heterogeneity -- More Estimation Methods -- Spectral Methods -- Surface-Based Modeling -- Ensemble Kalman Filtering -- Advanced Geological Characterization -- Other Emerging Techniques -- Final Thoughts -- Glossary and Notation -- Glossary -- Notation. 5.2.3. 5.2.4. 5.2.5. 5.2.6. 5.2.7. 5.3. 5.3.1. 5.3.2. 5.3.3. 5.3.4. 5.3.5. 5.3.6. 5.3.7. 5.3.8. 5.3.9. 5.3.10. 6. 6.1. 6.2. 6.3. 6.4. 6.5. 6.6. 6.7. 6.8. 6.9. A. A.1. A.2.
9780199731442
11084250
2013031615
GBB431454 bnb
016654308 Uk
Hydrocarbon reservoirs--Mathematical models.
Petroleum--Geology--Statistical methods.
Hydrocarbon reservoirs--Mathematical models.
Petroleum--Geology--Statistical methods.
Erdölgeologie.
Erdöllagerstätte.
Speichergestein.
Geostatistik.
Mathematisches Modell.
Numerisches Modell.
TN870.53 / .P97 2014
553.2/82015195
Geostatistical reservoir modeling / Michael J. Pyrcz, Clayton V. Deutsch. - Second edition. - vii, 433 pages ; 26 cm
Includes bibliographical references and index.
Introduction -- Comments on Second Edition -- Plan for the Book -- Key Concepts -- Motivation for Reservoir Models -- Data for Reservoir Modeling -- The Common Work Flow -- An Introductory Example -- Work Flow Diagrams -- Modeling Principles -- Preliminary Geological Modeling Concepts -- The Story -- Geological Models -- Geological Model Overview -- Basin Formation and Filling -- Reservoir Architecture -- Example Stories and Reservoir Modeling Significance -- Section Summary -- Preliminary Statistical Concepts -- Geological Populations and Stationarity -- Notation and Definitions -- Bivariate Distributions -- Q -- Q Plots and Data Transformation -- Data Transformation -- Declustering and Debiasing. Machine generated contents note: 1. 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. 1.7. 1.8. 2. 2.1. 2.1.1. 2.1.2. 2.1.3. 2.1.4. 2.1.5. 2.1.6. 2.1.7. 2.2. 2.2.1. 2.2.2. 2.2.3. 2.2.4. 2.2.5. 2.2.6. Histogram and Cross-Plot Smoothing -- Monte Carlo Simulation -- Parameter Uncertainty -- Bayesian Statistics -- Work Flow -- Section Summary -- Quantifying Spatial Correlation -- The Random Function Concept -- Calculating Experimental Variograms -- Interpreting Experimental Variograms -- Horizontal Variograms -- Variogram Modeling -- Cross Variograms -- Multiple-Point Statistics -- Volume Variance Relations -- Work Flow -- Section Summary -- Preliminary Mapping Concepts -- Kriging and Cokriging -- Sequential Gaussian Simulation -- Indicator Formalism -- P-Field Methods -- Multiple-Point Simulation -- Object-Based Simulation -- Optimization Algorithms for Modeling -- Accounting for Trends -- Alternatives for Secondary Data Integration. 2.2.7. 2.2.8. 2.2.9. 2.2.10. 2.2.11. 2.2.12. 2.3. 2.3.1. 2.3.2. 2.3.3. 2.3.4. 2.3.5. 2.3.6. 2.3.7. 2.3.8. 2.3.9. 2.3.10. 2.4. 2.4.1. 2.4.2. 2.4.3. 2.4.4. 2.4.5. 2.4.6. 2.4.7. 2.4.8. 2.4.9. Work Flow -- Section Summary -- Modeling Prerequisites -- Data Inventory -- Data Events -- Well Data -- Seismic Data -- Dynamic Data -- Analog Data -- Data Considerations -- Section Summary -- Conceptual Model -- Conceptual Geological Model -- Model Framework -- Modeling Method Choice -- Statistical Inputs and Geological Rules -- Work Flow -- Section Summary -- Problem Formulation -- Goal and Purpose Definition -- Modeling Work Constraints -- Synthetic Paleo-basin -- Modeling Work Flows -- Reporting and Documentation -- Work Flow -- Section Summary -- Modeling Methods -- Large-Scale Modeling -- Structure and Bounding Surfaces -- Identification of Regions -- Trend Model Construction -- Multivariate Mapping. 2.4.10. 2.4.11. 3. 3.1. 3.1.1. 3.1.2. 3.1.3. 3.1.4. 3.1.5. 3.1.6. 3.1.7. 3.2. 3.2.1. 3.2.2. 3.2.3. 3.2.4. 3.2.5. 3.2.6. 3.3. 3.3.1. 3.3.2. 3.3.3. 3.3.4. 3.3.5. 3.3.6. 3.3.7. 4. 4.1. 4.1.1. 4.1.2. 4.1.3. 4.1.4. Summarization and Visualization -- Section Summary -- Variogram-Based Facies Modeling -- Comments on Facies Modeling -- Sequential Indicator Simulation -- Truncated Gaussian Simulation -- Cleaning Cell-Based Facies Realizations -- Work Flow -- Section Summary -- Multiple-Point Facies Modeling -- Multiple-Point Simulation -- Sequential Simulation with MPS -- Input Statistics -- Implementation Details -- Work Flow -- Section Summary -- Object-Based Facies Modeling -- Background -- Stochastic Shales -- Fluvial Modeling -- Nonfluvial Depositional Systems -- Work Flow -- Section Summary -- Process-Mimicking Facies Modeling -- Background -- Process-Mimicking Modeling -- Work Flow -- Section Summary -- Porosity and Permeability Modeling. 4.1.5. 4.1.6. 4.2. 4.2.1. 4.2.2. 4.2.3. 4.2.4. 4.2.5. 4.2.6. 4.3. 4.3.1. 4.3.2. 4.3.3. 4.3.4. 4.3.5. 4.3.6. 4.4. 4.4.1. 4.4.2. 4.4.3. 4.4.4. 4.4.5. 4.4.6. 4.5. 4.5.1. 4.5.2. 4.5.3. 4.5.4. 4.6. Background -- Gaussian Techniques for Porosity -- Seismic Data in SGS for Porosity -- Porosity/Permeability Transforms -- Gaussian Techniques for Permeability -- Indicator Technique for Permeability -- Work Flow -- Section Summary -- Optimization for Model Construction -- Background -- Simulated Annealing -- Perturbation Mechanism -- Update Objective Function -- Decision Rule -- Problem Areas -- Other Methods -- Work Flow -- Section Summary -- Model Applications -- Model Checking -- Background -- Minimum Acceptance Checks -- High-Order Checks -- Cross Validation and the Jackknife -- Checking Distributions of Uncertainty -- Work Flow -- Section Summary -- Model Post-processing -- Background -- Model Modification. 4.6.1. 4.6.2. 4.6.3. 4.6.4. 4.6.5. 4.6.6. 4.6.7. 4.6.8. 4.7. 4.7.1. 4.7.2. 4.7.3. 4.7.4. 4.7.5. 4.7.6. 4.7.7. 4.7.8. 4.7.9. 5. 5.1. 5.1.1. 5.1.2. 5.1.3. 5.1.4. 5.1.5. 5.1.6. 5.1.7. 5.2. 5.2.1. 5.2.2. Model Scaling -- Pointwise Summary Models -- Joint Summary Models -- Work Flow -- Section Summary -- Uncertainty Management -- Background -- Uncertainty Considerations -- How Many Realizations? -- Summarizing Uncertainty -- Uncertainty Versus Well Spacing -- Case for Geometric Criteria -- Ranking Realizations -- Decision Making with Uncertainty -- Work Flow -- Section Summary -- Special Topics -- Unstructured Grids -- Continuous Variable Heterogeneity -- More Estimation Methods -- Spectral Methods -- Surface-Based Modeling -- Ensemble Kalman Filtering -- Advanced Geological Characterization -- Other Emerging Techniques -- Final Thoughts -- Glossary and Notation -- Glossary -- Notation. 5.2.3. 5.2.4. 5.2.5. 5.2.6. 5.2.7. 5.3. 5.3.1. 5.3.2. 5.3.3. 5.3.4. 5.3.5. 5.3.6. 5.3.7. 5.3.8. 5.3.9. 5.3.10. 6. 6.1. 6.2. 6.3. 6.4. 6.5. 6.6. 6.7. 6.8. 6.9. A. A.1. A.2.
9780199731442
11084250
2013031615
GBB431454 bnb
016654308 Uk
Hydrocarbon reservoirs--Mathematical models.
Petroleum--Geology--Statistical methods.
Hydrocarbon reservoirs--Mathematical models.
Petroleum--Geology--Statistical methods.
Erdölgeologie.
Erdöllagerstätte.
Speichergestein.
Geostatistik.
Mathematisches Modell.
Numerisches Modell.
TN870.53 / .P97 2014
553.2/82015195