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Advanced Digital Signal Processing of Seismic Data (Hardcover) Loot Price: R2,470
Discovery Miles 24 700
Advanced Digital Signal Processing of Seismic Data (Hardcover): Wail A. Mousa

Advanced Digital Signal Processing of Seismic Data (Hardcover)

Wail A. Mousa

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Loot Price R2,470 Discovery Miles 24 700 | Repayment Terms: R231 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: 2020
Authors: Wail A. Mousa
Dimensions: 252 x 180 x 19mm (L x W x T)
Format: Hardcover
Pages: 338
ISBN-13: 978-1-107-03965-0
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > Petroleum & oil industries
Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
Books > Earth & environment > Earth sciences > Structure & properties of the Earth > Volcanology & seismology
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
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LSN: 1-107-03965-7
Barcode: 9781107039650

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