Quantitative Seismic Interpretation
Applying Rock Physics Tools to Reduce Interpretation Risk

A graduate-level guide to the application of rock physics in quantitative seismic interpretation.

Per Avseth (Author), Tapan Mukerji (Author), Gary Mavko (Author)

9780521151351, Cambridge University Press

Paperback, published 10 June 2010

408 pages, 171 b/w illus. 110 colour illus.
24.1 x 17 x 1.5 cm, 0.68 kg

'The authors provide very useful guidelines … by highlighting important points and pitfalls within the text and bulleted conclusions at the end of each chapter. … The reference list is quite extensive and very current … I recommend this book to geophysicists involved with reservoir property estimation from seismic data and well log formation evaluation.' The Leading Edge

Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls. This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and MATLAB® codes are provided on a website (http://www.cambridge.org/9780521151351). These resources will allow readers to gain a hands-on understanding of the methodologies.

Preface
1. Introduction to rock physics
2. Rock physics interpretation of texture, lithology and compaction
3. Statistical rock physics: combining rock physics, information theory, and statistics to reduce uncertainty
4. Common techniques for quantitative seismic interpretation
5. Case studies: lithology and pore-fluid prediction from seismic data
6. Workflows and guidelines
7. Hands-on
References
Index.

Subject Areas: Economic geology [RBGL], Volcanology & seismology [RBC], Geophysics [PHVG], Petroleum & oil industries [KNBP]