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Advanced Digital Signal Processing of Seismic Data on Hardback by Wail A Mousa
Advanced Digital Signal Processing of Seismic Data on Hardback by Wail A Mousa
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Advanced Digital Signal Processing of Seismic Data

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Description

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real-world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering and seismic wavelet processing. With over sixty end-of-chapter exercises, seismic data sets and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for Earth Scientists and petroleum professionals interested in DSP techniques.

Author Biography:

Wail A. Mousa is Associate Professor of Electrical Engineering at King Fahd University of Petroleum and Minerals, Sausi Arabia (KFUPM). His research interests include digital signal processing and its application in geophysics, with emphasis on seismic data processing. He has taught courses on 'Geo-signal data processing' to graduate and undergraduate students in electrical engineering since 2007; and previously worked as a research scientist for Schlumberger. He was also Chair of the World Petroleum Council-Youth Committee (WPC-YC) for three years.
Release date NZ
January 16th, 2020
Author
Audience
  • Professional & Vocational
Illustrations
30 Halftones, black and white; 348 Line drawings, black and white
Pages
338
Dimensions
180x252x19
ISBN-13
9781107039650
Product ID
29076637

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