Seismic Modelling and Pattern Recognition in Oil Exploration

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.

Klappentext

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. br/ 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. br/ 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. br/

Inhalt
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.