Seismic attributes for prospect identification and reservoir characterization

This volume is intended to give the geophysical signal analyst sufficient material to understand the usefulness of data covariance matrix analysis in the processing of geophysical signals. A background of basic linear algebra, statistics, and fundamental random signal analysis is assumed. This reference is unique in that the data vector covariance matrix is used throughout. Rather than dealing with only one seismic data processing problem and presenting several methods, the concentration in this book is on only one fundamental methodology-analysis of the sample covariance matrix-presenting many seismic data problems to which the methodology applies. This volume should be of interest to many researchers, providing a method amenable to many distinct applications. It offers a diverse sampling and discussion of the theory and the literature developed to date from a common viewpoint.