Seismic Modelling and Pattern Recognition in Oil Exploration / Edition 1

by A. Sinvhal

Overview

The reasons for writing this book are very simple. We use and teach computer aided techniques of mathematical simulation and of pattern recognition. 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.

Product Details

ISBN-13:	9780792314875
Publisher:	Springer Netherlands
Publication date:	04/30/1992
Edition description:	1992
Pages:	178
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

List of Contents.- 1. Introduction.- 2. Monte Carlo Models in Oil Exploration.- 3. Markov Chain Models in Oil Exploration.- 4. Simulation of Synthetic Seismograms.- 5. Feature Extraction from Seismograms.- 6. Statistical Analysis of Seismic Data.- 7. Patterns Recognized from Synthetic Seismic Data.- 8. Recognized Patterns and Seismic Reflection Data.- Appendices.- A List of abbreviations.- B List of symbols.- Author index.

Editorial Reviews

Thoroughly reviews the essentials of computer modelling, data analysis, and pattern recognition relevant to scientists involved in oil exploration. Overviews the Monte Carlo and Markus Chain models, and explains the various steps in pattern recognition, demonstrating the power of such methods in the practical interpretation of seismic reflection data. Includes several computer programs. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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