Seismic data analysis is one of the key technologies for characterizing reservoirs and for monitoring subsurface pore fluids. While there have been great advances in 3D seismic data processing, the quantitative interpretation of the seismic data for rock properties still poses many challenges. Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameter, such as lithologies and pore fluids, from seismically derived attributes. It shows how the multidisciplinary combination of rock physics models with seismic data, sedimentological information, and stochastic techniques can lead to more powerful results than can be obtained from a single technique. 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, fro which seismic and well-log data, and Matlab codes are provided on a website (http://www.cambridge.org/9780521816014). These resources will allow readers to gain a hands-on understanding of the methodologies. Book jacket.