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dc.contributor.authorFomel, Sergey
dc.contributor.authorYing, Lexing
dc.contributor.authorSong, Xiaolei
dc.date.accessioned2016-02-28T05:53:33Z
dc.date.available2016-02-28T05:53:33Z
dc.date.issued2012-04-30
dc.identifier.citationFomel S, Ying L, Song X (2012) Seismic wave extrapolation using lowrank symbol approximation. Geophysical Prospecting 61: 526–536. Available: http://dx.doi.org/10.1111/j.1365-2478.2012.01064.x.
dc.identifier.issn0016-8025
dc.identifier.doi10.1111/j.1365-2478.2012.01064.x
dc.identifier.urihttp://hdl.handle.net/10754/599570
dc.description.abstractWe consider the problem of constructing a wave extrapolation operator in a variable and possibly anisotropic medium. Our construction involves Fourier transforms in space combined with the help of a lowrank approximation of the space-wavenumber wave-propagator matrix. A lowrank approximation implies selecting a small set of representative spatial locations and a small set of representative wavenumbers. We present a mathematical derivation of this method, a description of the lowrank approximation algorithm and numerical examples that confirm the validity of the proposed approach. Wave extrapolation using lowrank approximation can be applied to seismic imaging by reverse-time migration in 3D heterogeneous isotropic or anisotropic media. © 2012 European Association of Geoscientists & Engineers.
dc.description.sponsorshipWe thank KAUST for partial financial support; Tariq Alkhalifah, Bjorn Engquist, Laurent Demanet and Paul Fowler for useful discussions; and BP for releasing benchmark synthetic models.
dc.publisherWiley
dc.subjectDecomposition
dc.subjectLowrank
dc.titleSeismic wave extrapolation using lowrank symbol approximation
dc.typeArticle
dc.identifier.journalGeophysical Prospecting
dc.contributor.institutionUniversity of Texas at Austin, Austin, United States
dc.date.published-online2012-04-30
dc.date.published-print2013-05


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