000 02473nam a22003978i 4500
001 CR9781316756041
003 UkCbUP
005 20200623173920.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 160229s2019||||enk o ||1 0|eng|d
020 _a9781316756041 (ebook)
020 _z9781107170148 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQE36
_b.M33944 2019
082 0 0 _a551.801/5186
_223
100 1 _aMargrave, Gary F.,
_d1950-
_eauthor.
245 1 0 _aNumerical methods of exploration seismology :
_bwith algorithms in MATLAB /
_cGary F. Margrave, Michael P. Lamoureux.
264 1 _aCambridge :
_bCambridge University Press,
_c2019.
300 _a1 online resource (xi, 444 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 04 Jan 2019).
520 _aExploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLABĀ® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.
650 0 _aGeological mapping
_xData processing.
650 0 _aThree-dimensional imaging in geology.
650 0 _aImaging systems in geology.
651 0 _aEarth (Planet)
_xCrust.
650 0 _aGeology, Structural
_xData processing.
650 0 _aSeismic reflection method.
630 0 0 _aMATLAB.
700 1 _aLamoureux, Michael P.,
_eauthor.
776 0 8 _iPrint version:
_z9781107170148
856 4 0 _uhttps://doi.org/10.1017/9781316756041
999 _c520935
_d520870