Advanced digital signal processing of seismic data

Wail A. Mousa*

*Corresponding author for this work

Research output: Book/ReportBookpeer-review

17 Scopus citations

Abstract

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.

Original languageEnglish
PublisherCambridge University Press
Number of pages326
ISBN (Electronic)9781139626286
ISBN (Print)9781107039650
DOIs
StatePublished - 1 Jan 2019

Bibliographical note

Publisher Copyright:
© Wail A. Mousa 2019.

ASJC Scopus subject areas

  • General Physics and Astronomy

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