![](/client/images/blank.gif)
Eylem Seç
![Soft computing and intelligent data analysis in oil exploration için kapak resmi Soft computing and intelligent data analysis in oil exploration için kapak resmi](/client/assets/d79c3e4af2b6d196/ctx/images/no_image.png)
Soft computing and intelligent data analysis in oil exploration
Başlık:
Soft computing and intelligent data analysis in oil exploration
Yazar:
Nikravesh, Masoud, 1959-
ISBN:
9780444506856
9780080541327
9781281038814
9786611038816
Basım Bilgisi:
1st ed.
Yayın Bilgileri:
Amsterdam ; Boston : Elsevier, 2003.
Fiziksel Tanımlama:
1 online resource (xxix, 724 pages) : illustrations (some color) : digital, HTML and PDF files
Seri:
Developments in petroleum science, 51
Developments in petroleum science ; 51.
İçerik:
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.
Özet:
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.
Konu Başlığı:
Elektronik Erişim:
ScienceDirect https://www.sciencedirect.com/science/book/9780444506856 ScienceDirect https://www.sciencedirect.com/science/bookseries/03767361/51 ScienceDirect https://www.sciencedirect.com/science/publication?issn=03767361&volume=51Mevcut:*
Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
TN271 .P4 S63 2003 EB | 1186228-1001 | Elsevier E-Kitap Koleksiyonu | Arıyor... |
On Order
Liste seç
Bunu varsayılan liste yap.
Öğeler başarıyla eklendi
Öğeler eklenirken hata oldu. Lütfen tekrar deneyiniz.
:
Select An Item
Data usage warning: You will receive one text message for each title you selected.
Standard text messaging rates apply.