Overview

Aimed primarily at earth scientists, research workers and engineers who are investigating new techniques and ideas for processing and interpreting large amounts of numerical data, this work meets the long-felt need for a comprehensive text covering various aspects of pattern recognition in a single volume. The treatment starts with a description of seismic modelling, ie the formulation of mathematical models for subsurface geology based on Monte Carlo and Markov chains. It then guides the reader through various steps in pattern recognition, viz identification and automatic extraction of attributes in the time and frequency domains from the seismic response of models. The use of these attributes in pattern recognition is validated by interpreting seismic reflection data as a practical application area. Appropriate computer programs have also been included in the text. An important aspect of this book is that it links subsurface geology with pattern recognition. This work should be of interest to those working in the areas of seismic prospecting, seismic zonation and strong motion modelling as well as to those who deal with data interpretation in other disciplines.

Full Product Details

Author:   A. Sinvhal ,  Harsha Sinvhal
Publisher:   Springer
Imprint:   Springer
Edition:   1992 ed.
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.990kg
ISBN:  

9780792314875

ISBN 10:   0792314875
Pages:   178
Publication Date:   30 April 1992
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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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.

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