Soft computing and intelligent data analysis in oil exploration

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, petr...

Full description

Saved in:
Bibliographic Details
Other Authors: Nikravesh, Masoud, 1959-, Aminzadeh, Fred., Zadeh, Lotfi A.
Format: eBook
Language: English
Published: Amsterdam ; Boston : Elsevier, 2003.
Edition: 1st ed.
Series: Developments in petroleum science ; 51.
Subjects:
Petroleum > Prospecting > Data processing.
Hydrocarbon reservoirs > Computer simulation.
Soft computing.
elektronické knihy
electronic books
ISBN: 9780444506856
9780080541327
Physical Description: 1 online zdroj (xxix, 724 pages) : illustrations (some color) : digital, HTML and PDF files.

Cover

Table of contents

LEADER 06463cam a2200457 a 4500
001 81897
003 CZ ZlUTB
005 20200530182748.0
006 m o d
007 cr |n
008 071126s2003 ne a sb 001 0 eng d
020 |a 9780444506856 
020 |a 9780080541327  |q (ebook) 
035 |a (OCoLC)182518835  |z (OCoLC)162131231  |z (OCoLC)173240359  |z (OCoLC)174114797  |z (OCoLC)441797915  |z (OCoLC)648324499 
040 |a BUF  |b eng  |e pn  |c BUF  |d YDXCP  |d KNOVL  |d OCLCQ  |d OPELS  |d GBVCP  |d OCLCO  |d N$T  |d MERUC  |d E7B  |d IDEBK  |d OCLCQ  |d OCLCA  |d KNOVL  |d OPELS  |d ZCU  |d KNOVL  |d OCLCF  |d KNOVL  |d DEBSZ  |d OCLCQ 
245 0 0 |a Soft computing and intelligent data analysis in oil exploration  |h [elektronický zdroj] /  |c edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh. 
250 |a 1st ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier,  |c 2003. 
300 |a 1 online zdroj (xxix, 724 pages) :  |b illustrations (some color) : digital, HTML and PDF files. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Developments in petroleum science,  |x 0376-7361 ;  |v 51 
504 |a Includes bibliographical references and indexes. 
505 0 |a 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. 
520 |a 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. 
590 |a Knovel Library  |b ACADEMIC - Oil & Gas Engineering 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
650 0 |a Petroleum  |x Prospecting  |x Data processing. 
650 0 |a Hydrocarbon reservoirs  |x Computer simulation. 
650 0 |a Soft computing. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Nikravesh, Masoud,  |d 1959- 
700 1 |a Aminzadeh, Fred. 
700 1 |a Zadeh, Lotfi A.  |q (Lotfi Asker) 
776 0 8 |i Print version:  |t Soft computing and intelligent data analysis in oil exploration.  |b 1st ed.  |d Amsterdam ; Boston : Elsevier, 2003  |z 0444506853  |z 9780444506856  |w (DLC) 2003283005  |w (OCoLC)51438153 
830 0 |a Developments in petroleum science ;  |v 51.  |x 0376-7361 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://app.knovel.com/hotlink/toc/id:kpSCIDAOE1/soft_computing_and_intelligent_data_analysis_in_oil_exploration  |y Plný text 
992 |a BK  |c KNOVEL 
999 |c 81897  |d 81897 

Similar Items