Practical Seismic Data Analysis

A modern introduction to seismic data processing in exploration and global geophysics, demonstrating practical applications through real data and examples.

Hua-Wei Zhou (Author)

9780521199100, Cambridge University Press

Hardback, published 23 January 2014

496 pages, 350 b/w illus. 31 colour illus. 11 tables 11 exercises
25.2 x 19.2 x 2.7 cm, 1.25 kg

'… this book provides the material required for a one-semester course in seismic data processing and analysis. However, it is also a useful reference resource for professional geophysicists. Mathematical content has been minimized, and the book is lavishly illustrated with many useful diagrams and seismic data sets.' William A. Sandham, The Leading Edge

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to complete the learning package.

Preface
1. Introduction to seismic data
2. Preliminary analysis of seismic data
3. Discrete spectral analysis
4. Seismic resolution and fidelity
5. Digital filters
6. Deconvolution
7. Practical seismic migration
8. Practical seismic velocity analysis
9. Suppression of multiple reflections
10. Data fitting and model inversion
11. Special topics
Glossary
References
Index.

Subject Areas: Earth sciences [RB], Earth sciences, geography, environment, planning [R]