Soft Computing for Reservoir Characterization and Modeling

  • Patrick Wong
  • Fred Aminzadeh
  • Masoud Nikravesh

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 80)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Intelligent Reservoir Characterization

    1. P. M. Wong, F. Aminzadeh, M. Nikravesh
      Pages 3-12
  3. Seismic Characterization

    1. Front Matter
      Pages 13-13
    2. Bambang Widarsono, Suprajitno Munadi, Fakhriyadi Saptono
      Pages 35-55
    3. H. Trappe, C. Hellmich, J. Knudsen, H. Baartman
      Pages 57-71
    4. Alberto Consonni, Raffaella Iantosca, Paolo Ruffo
      Pages 73-103
  4. Well Logging

  5. Numerical Geology

    1. Front Matter
      Pages 311-311
    2. Jef Caers, Sanjay Srinivasan
      Pages 355-386
    3. Soto B. Rodolfo, Fredy Torres, Sandro Arango, Gloria Cobaleda, Stephen Holditch, Ching Wu
      Pages 387-417
  6. Advanced Algorithms

    1. Front Matter
      Pages 463-463
    2. C. V. Deutsch, Y. L. Xie, A. S. Cullick
      Pages 481-510
    3. Li-Yun Fu
      Pages 511-530
    4. M. Kanevski, A. Pozdnukhov, S. Canu, M. Maignan, P. M. Wong, S. A. R. Shibli
      Pages 531-558
  7. Back Matter
    Pages 585-586

About this book


The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes.


Reservoir Well logging algorithms classification cognition evolution evolutionary computation fuzzy fuzzy logic genetic algorithms geophysics intelligent systems modeling neural networks uncertainty

Editors and affiliations

  • Patrick Wong
    • 1
  • Fred Aminzadeh
    • 2
  • Masoud Nikravesh
    • 3
  1. 1.School of Petroleum EngineeringUniversity of New South WalesSydneyAustralia
  2. 2.Sugar LandUSA
  3. 3.Computer Science Division, Department of EECSUniversity of CaliforniaBerkeleyUSA

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2495-7
  • Online ISBN 978-3-7908-1807-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site