Automated Pattern Analysis in Petroleum Exploration

1. Front Matter

   Pages i-xv

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2. The Use of Artificial Intelligence for Model Identification in Well Test Interpretation

   • Olivier Allain, Roland N. Horne

   Pages 1-32

3. Artificial Intelligence in Formation Evaluation

   • Tsai-Bao Kuo, Steven A. Wong, Richard A. Startzman

   Pages 33-60

4. Intelligent Knowledge Based Systems and Seismic Interpretation

   • I. Williamson

   Pages 61-70

5. An Expert System for the Design of Array Parameters for Onshore Seismic Surveys

   • Barrie K. Davis

   Pages 71-80

6. An Expert System to Assist in Processing Vertical Seismic Profiles

   • Peter Crisi

   Pages 81-97

7. Expert Systems for Seismic Interpretations and Validation of Simulated Stacking Velocity Functions

   • Kou-Yuan Huang

   Pages 99-119

8. Pattern Recognition to Seismic Exploration

   • Kou-Yuan Huang

   Pages 121-153

9. Pattern Recognition for Marine Seismic Exploration

   • Ferial El-Hawary

   Pages 155-171

10. Clustering of Attributes by Projection Pursuit for Reservoir Characterization

    • A. T. Walden

    Pages 173-199

11. Exploring the Fractal Mountains

    • Brian Klinkenberg, Keith C. Clarke

    Pages 201-212

12. Image Analysis of Particle Shape

    • John Starkey, Sandra Rutherford

    Pages 213-221

13. Interactive Image Analysis of Borehole Televiewer Data

    • Colleen A. Barton, Lawrence G. Tesler, Mark D. Zoback

    Pages 223-248

14. Petrographic Image Analysis: An Alternate Method for Determining Petrophysical Properties

    • R. E. Gerard, C. A. Philipson, F. M. Manni, D. M. Marschall

    Pages 249-263

15. Image Processing of Magnetic Data and Application of Integrated Interpretation for Mineral Resources Detection in Yiesan Area, East China

    • Chaojun Wu

    Pages 265-283

16. Interactive Three-Dimensional Seismic Display by Volumetric Rendering

    • Robert H. Wolfe Jr., C. N. Liu

    Pages 285-292

17. Back Matter

    Pages 293-295

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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.

• Borehole
• Reservoir
• exploration
• formation
• image processing
• mineral
• mining
• mineral resources

• Amoco Production Company, Houston, USA

  Ibrahim Palaz

• Lawrence Livermore National Laboratory, Livermore, USA

  Sailes K. Sengupta

• South Dakota School of Mines and Technology, Rapid City, USA

  Sailes K. Sengupta

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