000			02815nam a22003498i 4500
001			CR9781139626286
003			UkCbUP
005			20200124155830.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			121119s2019||||enk o ||1 0|eng|d
020			_a9781139626286 (ebook)
020			_z9781107039650 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTN269.84 _b.M68 2019
082	0	0	_a511.22028/7 _223
100	1		_aMousa, Wail Abdul-Hakim, _eauthor.
245	1	0	_aAdvanced digital signal processing of seismic data / _cWail A. Mousa.
264		1	_aCambridge : _bCambridge University Press, _c2019.
300			_a1 online resource (xiv, 325 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 10 Jan 2020).
505	8		_aMachine generated contents note: Preface; Part I. Seismic Theory Background: 1. Introduction; 2. Seismic Theory and Reflection Surveying: A Necessary; Background; Part II. Deterministic Digital Signal Processing for Seismic Data: 3. Spectral analysis of Seismic Data and Useful Transforms; 4. Sampling Theorem for Seismic Data; 5. Seismic Applications of Digital Filtering Theory; Part III. Statistical Digital Signal Processing for Seismic Data: 6. Fundamentals of Digital Optimal Filtering; 7. Seismic Deconvolution; 8. Seismic Wavelet Processing; References; Index.
520			_aSeismic 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.
650		0	_aSeismic reflection method.
650		0	_aSignal processing _xDigital techniques.
650		0	_aPetroleum _xProspecting _xData processing.
776	0	8	_iPrint version: _z9781107039650
856	4	0	_uhttps://doi.org/10.1017/9781139626286
999			_c514315 _d514313