http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xiv, 254 pages) : illustrations
Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and discussions of prediction and smoothing. Separate chapters follow on minimum-variance deconvolution; maximum-likelihood and maximum a posteriori estimation methods; the philosophy of maxi.
Front Cover; Optimal Seismic Deconvolution: An Estimation-Based Approach; Copyright Page; Dedication; Table of Contents; Foreword; Preface; Chapter 1. Deconvolution; 1.1. Introduction; 1.2. Some Approaches to Deconvolution; 1.3. State-Variable Models; 1.4. Outline of Book; Appendix A: Introduction to State-Variable Models and Methods; Chapter 2. Minimum-Variance Estimation; 2.1. Introduction; 2.2. Elements of Minimum-Variance Estimation Theory; 2.3. Optimal Prediction; 2.4. Optimal Filtering; 2.5. Optimal Smoothing; 2.6. Final Remark; Chapter 3. Minimum-Variance Deconvolution
10.2. Maximum-Likelihood Normal Incidence Inversion10.3. Normal Incidence Geooptimal Deconvolution Algorithm; 10.4. Simulation Results; Chapter 11. Epilog; 11.1. Computation; 11.2. Multichannel Deconvolution; 11.3. Tying Well-Log and Seismic Data Together; 11.4. Nonnormal Incidence Geooptimal Deconvolution; 11.5. Recursive Waveshaping; 11.6. Noncausal Impulse Responses; References; Index
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Includes bibliographical references (pages 244-250) and index.
Natural gas deposits & petroleum deposits
Applications of reflection of artificially generated seismic waves