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Seismic Modelling and Pattern Recognition in Oil Exploration

  • Amita Sinvhal
  • Harsha Sinvhal

Table of contents

  1. Front Matter
    Pages i-viii
  2. Amita Sinvhal, Harsha Sinvhal
    Pages 1-10
  3. Amita Sinvhal, Harsha Sinvhal
    Pages 11-32
  4. Amita Sinvhal, Harsha Sinvhal
    Pages 33-61
  5. Amita Sinvhal, Harsha Sinvhal
    Pages 63-90
  6. Amita Sinvhal, Harsha Sinvhal
    Pages 91-111
  7. Amita Sinvhal, Harsha Sinvhal
    Pages 113-127
  8. Amita Sinvhal, Harsha Sinvhal
    Pages 129-144
  9. Amita Sinvhal, Harsha Sinvhal
    Pages 145-164
  10. Back Matter
    Pages 165-178

About this book

Introduction

The reasons for writing this book are very simple. We use and teach com­ puter aided techniques of mathematical simulation and of pattern recogni­ tion. Life would be much simpler if we had a suitable text book with methods and computer programmes which we could keep referring to. Therefore, we have presented here material that is essential for mathematical modelling of some complex geological situations, with which earth scientists are often confronted. The reader is introduced not only to the essentials of computer modelling, data analysis and pattern recognition, but is also made familiar with the basic understanding with which they can plunge into when solving related and more complex problems. This book first makes a case for seismic stratigraphy and then for pattern recognition. Chapter 1 provides an extensive review of applications of pattern recognition methods in oil exploration. Simulation procedures are presented with examples that are fairly simple to understand and easy to use on the computer. Several geological situations can be formulated and simulated using the Monte Carlo method. The binary lithologic sequences, discussed in Chapter 2, consist of alternating layers of any two of sand, shale and coal.

Keywords

digital elevation model pattern pattern recognition prospecting seismic

Authors and affiliations

  • Amita Sinvhal
    • 1
  • Harsha Sinvhal
    • 2
  1. 1.Department of Earthquake EngineeringUniversity of RoorkeeIndia
  2. 2.Department of Earth SciencesUniversity of RoorkeeIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-2570-3
  • Copyright Information Springer Science+Business Media Dordrecht 1992
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-5134-7
  • Online ISBN 978-94-011-2570-3
  • Buy this book on publisher's site