Modern Approaches in Geophysics

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Editors: Sandham, W., Leggett, M. (Eds.)

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About this book

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Table of contents (18 chapters)

  • A Review of Automated First-Break Picking and Seismic Trace Editing Techniques

    McCormack, Michael D.

    Pages 1-12

  • Automated Picking of Seismic First-Arrivals with Neural Networks

    Hart, Douglas I.

    Pages 13-30

  • Automated 3-D Horizon Tracking and Seismic Classification Using Artificial Neural Networks

    Leggett, Miles (et al.)

    Pages 31-44

  • Seismic Horizon Picking Using a Hopfield Network

    Huang, Kou-Yuan

    Pages 45-56

  • Refinement of Deconvolution by Neural Networks

    Robinson, Enders A.

    Pages 57-70

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-94-017-0271-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-4020-1729-2
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $209.00
price for USA
  • ISBN 978-90-481-6476-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
Editors
  • W. Sandham
  • M. Leggett
Series Title
Modern Approaches in Geophysics
Series Volume
21
Copyright
2003
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-017-0271-3
DOI
10.1007/978-94-017-0271-3
Hardcover ISBN
978-1-4020-1729-2
Softcover ISBN
978-90-481-6476-9
Series ISSN
0924-6096
Edition Number
1
Number of Pages
XXIII, 325
Topics