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Geophysical Applications of Artificial Neural Networks and Fuzzy Logic 2004 [Kõva köide]

Preface by , Edited by , Edited by
  • Formaat: Hardback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 772 g, XXIII, 325 p., 1 Hardback
  • Sari: Modern Approaches in Geophysics 21
  • Ilmumisaeg: 31-Dec-2003
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402017294
  • ISBN-13: 9781402017292
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  • Formaat: Hardback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 772 g, XXIII, 325 p., 1 Hardback
  • Sari: Modern Approaches in Geophysics 21
  • Ilmumisaeg: 31-Dec-2003
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402017294
  • ISBN-13: 9781402017292
Teised raamatud teemal:
This book/CD-ROM describes geophysical applications of artificial neural networks and fuzzy logic, in areas such as seismology, mineral exploration, subterranean nuclear explosions, and electromagnetic exploration. A two-part bibliography lists introductory and advanced texts and review papers concerning the theory of artificial neural networks and fuzzy logic, and compiles all major publications concerning geophysical applications of artificial neural networks and fuzzy logic, from the 1980s to the present. The bibliography is broken down into references dealing with overviews of the subject, collective pattern recognition publications, and compilations of papers dealing with various applications. The accompanying CD-ROM contains color figures and searchable fields. Material originated at a 1997 workshop held in Geneva, Switzerland. There is no subject index. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.
List of Contributors xi
Preface xiii
Special Preface xv
SECTION A EXPLORATION SEISMOLOGY
1 A REVIEW OF AUTOMATED FIRST-BREAK PICKING AND SEISMIC TRACE EDITING TECHNIQUES
1(12)
Michael D. McCormack
2 AUTOMATED PICKING OF SEISMIC FIRST-ARRIVALS WITH NEURAL NETWORKS
13(18)
Douglas I. Hart
3 AUTOMATED 3-D HORIZON TRACKING AND SEISMIC CLASSIFICATION USING ARTIFICIAL NEURAL NETWORKS
31(14)
Miles Leggett, William A. Sandham and Tariq S. Durrani
4 SEISMIC HORIZON PICKING USING A HOPFIELD NETWORK
45(12)
Kou-Yuan Huang
5 REFINEMENT OF DECONVOLUTION BY NEURAL NETWORKS
57(14)
Enders A. Robinson
6 IDENTIFICATION AND SUPPRESSION OF MULTIPLE REFLECTIONS IN MARINE SEISMIC DATA WITH NEURAL NETWORKS
71(18)
Robert Essenreiter, Martin Karrenback and Sven Treitel
7 APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO SEISMIC WAVEFORM INVERSION
89(14)
Qiaodeng He and Hui Zhou
8 SEISMIC PRINCIPAL COMPONENTS ANALYSIS USING NEURAL NETWORKS
103(22)
Kou-Yuan Huang
SECTION B LITHOLOGY, WELL LOGS, PROSPECTIVITY MAPPING AND RESERVOIR CHARACTERISATION
9 FUZZY CLASSIFICATION FOR LITHOLOGY DETERMINATION FROM WELL LOGS
125(18)
Antoine Toumani
10 RESERVOIR PROPERTY ESTIMATION USING THE SEISMIC WAVEFORM AND FEEDFORWARD NEURAL NETWORKS
143(14)
Ping An, Wooil M. Moon and Fotis Kalantzis
11 AN INFORMATION INTEGRATED APPROACH FOR RESERVOIR CHARACTERISATION
157(22)
Li-Yun Fu
12 AN ARTIFICIAL NEURAL NETWORK METHOD FOR MINERAL PROSPECTIVITY MAPPING: A COMPARISON WITH FUZZY LOGIC AND BAYESIAN PROBABILITY METHODS
179(18)
Warick M. Brown, David I. Groves and Tams D. Gedeon
13 OIL RESERVOIR POROSITY PREDICTION USING A NEURAL NETWORK ENSEMBLE APPROACH
197(18)
Curtis A. Link and Phillip A. Himmer
14 INTERPRETATION OF SHALLOW STRATIGRAPHIC FACIES USING A SELF-ORGANIZING NEURAL NETWORK
215(16)
Curtis A. Link and Stuart Blundell
15 NEURAL NETWORK INVERSION OF EM39 INDUCTION LOG DATA
231(22)
Lin Zhang and Mary Poulton
SECTION C ELECTROMAGNETIC EXPLORATION
16 INTERPRETATION OF AIRBORNE ELECTROMAGNETIC DATA WITH NEURAL NETWORKS
253(16)
Edmund Winkler, Wolfgang Seiberl and Andreas Ahi
SECTION D OTHER GEOPHYSICAL APPLICATIONS
17 INTEGRATED PROCESSING AND IMAGING OF EXPLORATION DATA: AN APPLICATION OF FUZZY LOGIC
269(18)
Wooil M. Moon and Ping An
18 APPLICATION OF MULTILAYER PERCEPTRONS TO EARTHQUAKE SEISMIC ANALYSIS
287(20)
Hengchang Dai
BIBLIOGRAPHY 307