Soft Computing and Intelligent Data Analysis in Oil Exploration

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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.

Author(s): M. Nikravesh, F. Aminzadeh and L.A. Zadeh (Eds.)
Series: Developments in Petroleum Science 51
Edition: 1
Publisher: Elsevier Science
Year: 2003

Language: English
Pages: 3-724

Content:
Foreword
Pages vii-viii
David A. Wilkinson

Preface
Pages ix-x
Masoud Nikravesh, Fred Aminzadeh, Lotfi A. Zadeh

About the editors
Pages xi-xii

List of contributors
Pages xiii-xv

Chapter 1 Soft computing for intelligent reservoir characterization and modeling Original Research Article
Pages 3-32
Masoud Nikravesh, F. Aminzadeh

Chapter 2 Fuzzy logic Original Research Article
Pages 33-49
George J. Klir

Chapter 3 Introduction to using genetic algorithms Original Research Article
Pages 51-76
J.N. Carter

Chapter 4 Heuristic approaches to combinatorial optimization Original Research Article
Pages 77-83
Virginia M. Johnson

Chapter 5 Introduction to geostatistics Original Research Article
Pages 85-95
Rajesh J. Pawar

Chapter 6 Geostatistics: From pattern recognition to pattern reproduction Original Research Article
Pages 97-115
Jef Caers

Chapter 7 Mining and fusion of petroleum data with fuzzy logic and neural network agents Original Research Article
Pages 119-142
Masoud Nikravesh, Fred Aminzadeh

Chapter 8 Time lapse seismic as a complementary tool for in-fill drilling Original Research Article
Pages 143-155
M. Landrø, L.K. Strønen, P. Digranes, O.A. Solheim, E. Hilde

Chapter 9 Improving seismic chimney detection using directional attributes Original Research Article
Pages 157-173
Kristofer M. Tingdahl

Chapter 10 Modeling a fluvial reservoir with multipoint statistics and principal components Original Research Article
Pages 175-185
P.M. Wong, S.A.R. Shibli

Chapter 11 The role of fuzzy logic in sedimentology and stratigraphic models Original Research Article
Pages 189-217
Robert V. Demicco, George J. Klir, Radim Belohlavek

Chapter 12 Spatial contiguity analysis. A method for describing spatial structures of seismic data Original Research Article
Pages 219-245
A. Faraj, F. Cailly

Chapter 13 Litho-seismic data handling for hydrocarbon reservoie estimate: Fuzzy system modeling approach Original Research Article
Pages 247-271
E.A. Shyllon

Chapter 14 Neural vector quantization for geobody detection and static multivariate upscaling Original Research Article
Pages 273-288
A. Chawathé, M. Ye

Chapter 15 High resolution reservoir heterogeneity characterization using recognition technology Original Research Article
Pages 289-307
Mahnaz Hassibi, Iraj Ershaghi, Fred Aminzadeh

Chapter 16 Extending the use of linguistic petrographical descriptions to characterise core porosity Original Research Article
Pages 309-319
Tom D. Gedeon, Patrick M. Wong, Dilip Tamhane, Tao Lin

Chapter 17 Using genetic algorithms for reservoir characterisation Original Research Article
Pages 323-363
C. Romero, J.N. Carter

Chapter 18 Applying soft computing methods to improve the computational tractability of a subsurface simulation-optimization problem Original Research Article
Pages 365-395
Virginia M. Johnson, Leah L. Rogers

Chapter 19 Neural network prediction of permeability in the El Garia formation, Ashtart Oilfield, offshore Tunisia Original Research Article
Pages 397-411
J.H. Ligtenberg, A.G. Wansink

Chapter 20 Using RBF network to model the reservoir fluid behavior of black oil systems Original Research Article
Pages 413-444
Adel M. Elsharkawy

Chapter 21 Enhancing gas storage wells deliverability using intelligent systems Original Research Article
Pages 445-467
Shahab D. Mohaghegh

Chapter 22 Soft computing: Tools for intelligent reservoir characterization and optimum well placement Original Research Article
Pages 471-497
Masoud Nikravesh, Roy D. Adams, Raymond A. Levey

Chapter 23 Combining geological information with seismic and production data Original Research Article
Pages 499-525
Jef Caers, Sanjay Srinivasan

Chapter 24 Interpreting biostratigraphical data using fuzzy logic: The identification of regional mudstones within the Fleming Field, UK North Sea Original Research Article
Pages 527-552
M.I. Wakefteld, R.J. Cook, H. Jackson, P. Thompson

Chapter 25 Geostatistical characterization of the Carpinteria Field, California Original Research Article
Pages 553-581
Rajesh J. Pawar, Edwin B. Edwards, Earl M. Whitney

Chapter 26 Integrated fractured reservoir characterization using neural networks and fuzzy logic: Three case studies Original Research Article
Pages 583-602
A.M. Zellou, A. Ouenes

Chapter 27 Virtual magnetic resonance logs, a low cost reservoir description tool Original Research Article
Pages 605-632
Shahab D. Mohaghegh

Chapter 28 Artificial neural networks linked to GIS Original Research Article
Pages 633-650
Y. Yang, M.S. Rosenbaum

Chapter 29 Intelligent computing techniques for complex systems Original Research Article
Pages 651-672
Masoud Nikravesh

Chapter 30 Multtvariate statistical techniques including PCA and rule based systems for well log correlation Original Research Article
Pages 673-688
Lim Jong-Se

Author index
Pages 689-699

Subject index
Pages 701-724