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Seismic Modelling and Pattern Recognition in Oil Exploration by Amita Sinvhal (Paperback, 2013)

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By A. Sinvhal. Author A. Sinvhal. List of Contents. Monte Carlo Models in Oil Exploration. Markov Chain Models in Oil Exploration. Simulation of Synthetic Seismograms. Feature Extraction from Seismograms.

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This book is 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. It meets the long felt need for a comprehensive text dealing with various aspects of pattern recognition in a single volume. The treatment starts with a description of seismic modelling, i.e. 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. The present work will 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.