Overview
- Authors:
-
-
Amita Sinvhal
-
Department of Earthquake Engineering, University of Roorkee, India
-
Harsha Sinvhal
-
Department of Earth Sciences, University of Roorkee, India
Access this book
Other ways to access
Table of contents (8 chapters)
-
Front Matter
Pages i-viii
-
- Amita Sinvhal, Harsha Sinvhal
Pages 1-10
-
- Amita Sinvhal, Harsha Sinvhal
Pages 11-32
-
- Amita Sinvhal, Harsha Sinvhal
Pages 33-61
-
- Amita Sinvhal, Harsha Sinvhal
Pages 63-90
-
- Amita Sinvhal, Harsha Sinvhal
Pages 91-111
-
- Amita Sinvhal, Harsha Sinvhal
Pages 113-127
-
- Amita Sinvhal, Harsha Sinvhal
Pages 129-144
-
- Amita Sinvhal, Harsha Sinvhal
Pages 145-164
-
Back Matter
Pages 165-178
About this book
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.
Authors and Affiliations
-
Department of Earthquake Engineering, University of Roorkee, India
Amita Sinvhal
-
Department of Earth Sciences, University of Roorkee, India
Harsha Sinvhal