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Petroleum Reservoir Modeling and Simulation : Geology, Geostatistics, and Performance Prediction /
This practical resource lays out the tools and techniques necessary to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Written by a pair of experts, Petrole...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, N.Y. :
McGraw Hill LLC,
[2022]
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 020 | |a 1259834301 (e-ISBN) | ||
| 020 | |a 9781259834295 (print-ISBN) | ||
| 020 | |a 1259834298 (print-ISBN) | ||
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| 100 | 1 | |a Leung, Juliana Y., |e author. | |
| 245 | 1 | 0 | |a Petroleum Reservoir Modeling and Simulation : |b Geology, Geostatistics, and Performance Prediction / |c Juliana Y. Leung, Sanjay Srinivasan. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York, N.Y. : |b McGraw Hill LLC, |c [2022] | |
| 264 | 4 | |c ?2022 | |
| 300 | |a 1 online resource (304 pages) : |b 100 illustrations. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright Page -- Contents -- 1 Introduction -- 1.1 Introductory Concepts -- 1.2 Reference -- 2 Spatial Correlation -- 2.1 Spatial Covariance -- 2.2 Semi-Variogram -- 2.3 Variogram Modeling -- 2.4 References -- 3 Spatial Estimation -- 3.1 Linear Least Squares Estimation or Interpolation -- 3.2 Linear Regression -- 3.3 Estimation in General -- 3.4 Kriging -- 3.5 Universal Kriging -- 3.6 Kriging with an External Drift -- 3.7 Indicator Kriging -- 3.8 Data Integration in Kriging -- 3.9 References -- 4 Spatial Simulation -- 4.1 Introduction -- 4.2 Kriging?Limitations -- 4.3 Stochastic Simulation -- 4.4 Non-Parametric Sequential Simulation -- 4.5 Data Integration Using the Permanence of Ratio Hypothesis -- 4.6 References -- 5 Geostatistical Simulation Constrained to Higher-Order Statistics -- 5.1 Indicator Basis Function -- 5.2 References -- 6 Numerical Schemes for Flow Simulation -- 6.1 Governing Equations -- 6.2 Single-Phase Flow -- 6.3 Multi-Phase Flow -- 6.4 Finite Element Formulation -- 6.5 Solution of Linear System of Equations -- 6.6 References -- 7 Gridding Schemes for Flow Simulation -- 7.1 Gridding Schemes -- 7.2 Consistency, Stability, and Convergence -- 7.3 Advanced Numerical Schemes for Unstructured Grids -- 7.4 Dual Media Models -- 7.5 References -- 8 Upscaling of Reservoir Models -- 8.1 Statistical Upscaling -- 8.2 Flow-Based Upscaling -- 8.3 Scale-Up -- 8.4 Scale-Up of Flow and Transport Equations -- 8.5 Final Remarks -- 8.6 References -- 9 History Matching?Dynamic Data Integration -- 9.1 History Matching as an Inverse Problem -- 9.2 Optimization Schemes -- 9.3 Probabilistic Schemes -- 9.4 Ensemble-Based Schemes -- 9.5 References -- A Quantile Variograms -- B Some Details about the Markov?Bayes Model -- Index. | |
| 520 | |a This practical resource lays out the tools and techniques necessary to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Written by a pair of experts, Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction offers comprehensive coverage of quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. Throughout, special attention is paid to shale, carbonate, and subsea formations. | ||
| 530 | |a Also available in print edition. | ||
| 533 | |a Electronic reproduction. |b New York, N.Y. : |c McGraw Hill, |d 2022. |n Mode of access: World Wide Web. |n System requirements: Web browser. |n Access may be restricted to users at subscribing institutions. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | |a Description based on e-Publication PDF. | ||
| 650 | 0 | |a Oil reservoir engineering |x Mathematical models. | |
| 650 | 0 | |a Petroleum |x Geology |x Mathematical models. | |
| 650 | 0 | |a Oil reservoir engineering |x Mathematical models. | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Srinivasan, Sanjay, |e author. | |
| 776 | 0 | 8 | |i Print version: |t Petroleum Reservoir Modeling and Simulation : Geology, Geostatistics, and Performance Prediction. |b First edition. |d New York, N.Y. : McGraw-Hill Education, 2022 |z 9781259834295 |
| 856 | 4 | 0 | |u https://accessengineeringlibrary.uam.elogim.com/content/book/9781259834295 |z Texto completo |