| Edition |
1st ed. |
| Description |
1 online resource (xxix, 724 pages) : illustrations (some color) : digital, HTML and PDF files |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Developments in petroleum science, 0376-7361 ; 51 |
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Developments in petroleum science ; 51. 0376-7361
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| Bibliography |
Includes bibliographical references and indexes. |
| Note |
Print version record. |
| Contents |
Cover -- Contents -- Foreword -- Preface -- About the Editors -- List of Contributors -- Part 1: Introduction: Fundamentals of Soft Computing -- CHAPTER 1. SOFT COMPUTING FOR INTELLIGENT RESERVOIR CHARACTERIZATION AND MODELING -- Abstract -- 1. Introduction -- 2. The role of soft computing techniques for intelligent reservoir characterization and exploration -- 3. Artificial neural network and geoscience applications of artificial neural networks for exploration -- 4. Fuzzy logic -- 5. Genetics algorithms -- 6. Principal component analysis and wavelet -- 7. Intelligent reservoir characterization -- 8. Fractured reservoir characterization -- 9. Future trends and conclusions -- Appendix A.A basic primer on neural network and fuzzy logic terminology -- Appendix B. Neural networks -- Appendix C. Modified Levenberge-Marquardt technique -- Appendix D. Neuro-fuzzy models -- Appendix E. K-means clustering -- Appendix F. Fuzzy c-means clustering -- Appendix G. Neural network clustering -- References -- CHAPTER 2. FUZZY LOGIC -- Abstract -- CHAPTER 3. INTRODUCTION TO USING GENETIC ALGORITHMS -- 1. Introduction -- 2. Background to Genetic Algorithms -- 3. Design of a Genetic Algorithm -- 4. Conclusions -- References -- CHAPTER 4. HEURISTIC APPROACHES TO COMBINATORIAL OPTIMIZATION -- 1. Introduction -- 2. Decision variables -- 3. Properties of the objective function -- 4. Heuristic techniques -- References -- CHAPTER 5. INTRODUCTION TO GEOSTATISTICS -- 1. Introduction -- 2. Random variables -- 3. Covariance and spatial variability -- 4. Kriging -- 5. Stochastic simulations -- References -- CHAPTER 6. GEOSTATISTICS: FROM PATTERN RECOGNITION TO PATTERN REPRODUCTION -- 1. Introduction -- 2. The decision of stationarity -- 3. The multi-Gaussian approach to spatial estimation and simulation -- 4. Spatial interpolation with kriging -- 5. Beyond two-point models: multiple-point geostatistics -- 6. Conclusions -- 7. Glossary -- References -- Part 2: Geophysical Analysis and Interpretation -- CHAPTER 7. MINING AND FUSION OF PETROLEUM DATA WITH FUZZY LOGIC AND NEURAL NETWORK AGENTS -- Abstract -- 1. Introduction -- 2. Neural network and nonlinear mapping -- 3. Neuro-fuzzy model for rule extraction -- 4. Conclusion -- Appendix A. Basic primer on neural network and fuzzy logic terminology -- Appendix B. Neural networks -- Appendix C. Modified Levenberge-Marquardt technique -- Appendix D. Neuro-fuzzy models -- Appendix E. K-means clustering -- References -- CHAPTER 8. TIME LAPSE SEISMIC AS A COMPLEMENTARY TOOL FOR IN-FILL DRILLING -- Abstract -- 1. Introduction -- 2. Feasibility study -- 3. 3D seismic data sets -- 4. 4D seismic analysis approach -- 5. Seismic modeling of various flow scenarios -- 6. 4D seismic for detecting fluid movement -- 7. 4D seismic for detecting pore pressure changes -- 8. 4D seismic and interaction with the drilling program -- 9. Conclusions -- Acknowledgements -- References -- CHAPTER. |
| Summary |
This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects. It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic, neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include prediction of reservoir properties (porosity, sand thickness, lithology, fluid), seismic processing, seismic and bio stratigraphy, time lapse seismic and core analysis. There is a good balance between introducing soft computing and geostatistics methodologies that are not routinely used in the petroleum industry and various applications areas. The book can be used by many practitioners such as processing geophysicists, seismic interpreters, geologists, reservoir engineers, petrophysicist, geostatistians, asset mangers and technology application professionals. It will also be of interest to academics to assess the importance of, and contribute to, R & D efforts in relevant areas. |
| Language |
English. |
| Subject |
Petroleum -- Prospecting -- Data processing.
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Hydrocarbon reservoirs -- Computer simulation.
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Soft computing.
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Pétrole -- Prospection -- Informatique.
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Réservoirs d'hydrocarbures -- Simulation par ordinateur.
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Informatique douce.
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TECHNOLOGY & ENGINEERING -- Mining.
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Hydrocarbon reservoirs -- Computer simulation
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Petroleum -- Prospecting -- Data processing
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Soft computing
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| Added Author |
Nikravesh, Masoud, 1959-
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Aminzadeh, Fred.
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Zadeh, Lotfi A. (Lotfi Asker)
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| Other Form: |
Print version: Soft computing and intelligent data analysis in oil exploration. 1st ed. Amsterdam ; Boston : Elsevier, 2003 0444506853 9780444506856 (DLC) 2003283005 (OCoLC)51438153 |
| ISBN |
0444506853 (alk. paper) |
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9780444506856 (alk. paper) |
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9780080541327 (electronic book) |
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0080541321 (electronic book) |
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1281038814 |
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9781281038814 |
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9786611038816 |
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6611038817 |
| Standard No. |
AU@ 000042577466 |
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DEBBG BV039831789 |
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DEBBG BV042309122 |
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DEBSZ 367773090 |
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DEBSZ 43043796X |
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DEBSZ 482439564 |
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GBVCP 585895104 |
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NZ1 12371988 |
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NZ1 14676459 |
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NZ1 15595012 |
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UKMGB 017584923 |
|
