Soft computing and intelligent data analysis in oil exploration. (2003)
- Record Type:
- Book
- Title:
- Soft computing and intelligent data analysis in oil exploration. (2003)
- Main Title:
- Soft computing and intelligent data analysis in oil exploration
- Further Information:
- Note: Edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh.
- Other Names:
- Nikravesh, Masoud, 1959-
Aminzadeh, Fred
Zadeh, Lotfi A (Lotfi Asker) - 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. RandomCover -- 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. … (more)
- Publisher Details:
- Amsterdam Boston : Elsevier
- Publication Date:
- 2003
- Extent:
- 1 online resource (xxix, 724 pages), illustrations (some color) : digital, HTML and PDF files
- Subjects:
- 622/.18282/0285
Petroleum -- Prospecting -- Data processing
Hydrocarbon reservoirs -- Computer simulation
Soft computing
TECHNOLOGY & ENGINEERING -- Mining
Hydrocarbon reservoirs -- Computer simulation
Petroleum -- Prospecting -- Data processing
Soft computing
Electronic books - Languages:
- English
- ISBNs:
- 0444506853
9780444506856
9780080541327
0080541321 - Notes:
- Note: Includes bibliographical references and indexes.
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.35816
- Ingest File:
- 01_118.xml