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Automated Pattern Analysis in Petroleum Exploration

  • Ibrahim Palaz
  • Sailes K. Sengupta

Table of contents

  1. Front Matter
    Pages i-xv
  2. Tsai-Bao Kuo, Steven A. Wong, Richard A. Startzman
    Pages 33-60
  3. Kou-Yuan Huang
    Pages 121-153
  4. Brian Klinkenberg, Keith C. Clarke
    Pages 201-212
  5. John Starkey, Sandra Rutherford
    Pages 213-221
  6. Colleen A. Barton, Lawrence G. Tesler, Mark D. Zoback
    Pages 223-248
  7. R. E. Gerard, C. A. Philipson, F. M. Manni, D. M. Marschall
    Pages 249-263
  8. Robert H. Wolfe Jr., C. N. Liu
    Pages 285-292
  9. Back Matter
    Pages 293-295

About this book

Introduction

Here is a state-of-the-art survey of artificial intelligence in modern exploration programs. Focussing on standard exploration procedures, the contributions examine the advantages and pitfalls of using these new techniques, and, in the process, provide new, more accurate and consistent methods for solving old problems. They show how expert systems can provide the integration of information that is essential in the petroleum industry when solving the complicated questions facing the modern petroleum geoscientist.

Keywords

Borehole Reservoir exploration formation image processing mineral mining

Editors and affiliations

  • Ibrahim Palaz
    • 1
  • Sailes K. Sengupta
    • 2
    • 3
  1. 1.Amoco Production CompanyHoustonUSA
  2. 2.Lawrence Livermore National LaboratoryLivermoreUSA
  3. 3.South Dakota School of Mines and TechnologyRapid CityUSA

Bibliographic information