Advanced Digital Signal Processing of Seismic Data

Wail A Mousa

ISBN 10: 1107039657 / ISBN 13: 9781107039650

Published by Cambridge University Press Jan 2020, 2020

About this Item

Neuware - 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.

Seller Inventory # 9781107039650

Bibliographic Details

• Title: Advanced Digital Signal Processing of Seismic Data
• Publisher: Cambridge University Press Jan 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 1107039657
• ISBN 13: 9781107039650
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 23D millimeters 250 millimeters width by 175 millimeters height by 23 millimeters depth
• Weight: 767 grams

About this title

Synopsis

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.

About the Author

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.