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dc.contributor.authorFu, Lei
Symes, William W.
dc.date.accessioned 2017-05-05T19:00:53Z
dc.date.available 2017-05-05T19:00:53Z
dc.date.issued 2017
dc.identifier.citation Fu, Lei and Symes, William W.. "An adaptive multiscale algorithm for efficient extended waveform inversion." Geophysics, 82, no. 3 (2017) Society of Exploration Geophysicists: R183-R197. http://dx.doi.org/10.1190/geo2016-0426.1.
dc.identifier.urihttps://hdl.handle.net/1911/94195
dc.description.abstract Subsurface-offset extended full-waveform inversion (FWI) may converge to kinematically accurate velocity models without the low-frequency data accuracy required for standard data-domain FWI. However, this robust alternative approach to waveform inversion suffers from a very high computational cost resulting from its use of nonlocal wave physics: The computation of strain from stress involves an integral over the subsurface offset axis, which must be performed at every space-time grid point. We found that a combination of data-fit driven offset limits, grid coarsening, and low-pass data filtering can reduce the cost of extended inversion by one to two orders of magnitude.
dc.language.iso eng
dc.publisher Society of Exploration Geophysicists
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title An adaptive multiscale algorithm for efficient extended waveform inversion
dc.type Journal article
dc.citation.journalTitle Geophysics
dc.contributor.org The Rice Inversion Project
dc.subject.keywordfull-waveform inversion
velocity analysis
imaging
dc.citation.volumeNumber 82
dc.citation.issueNumber 3
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1190/geo2016-0426.1
dc.type.publication publisher version
dc.citation.firstpage R183
dc.citation.lastpage R197


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