An adaptive multiscale algorithm for efficient extended waveform inversion

dc.citation.firstpageR183
dc.citation.issueNumber3
dc.citation.journalTitleGeophysics
dc.citation.lastpageR197
dc.citation.volumeNumber82
dc.contributor.authorFu, Lei
dc.contributor.authorSymes, William W.
dc.contributor.orgThe Rice Inversion Project
dc.date.accessioned2017-05-05T19:00:53Z
dc.date.available2017-05-05T19:00:53Z
dc.date.issued2017
dc.description.abstractSubsurface-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.identifier.citationFu, Lei and Symes, William W.. "An adaptive multiscale algorithm for efficient extended waveform inversion." <i>Geophysics,</i> 82, no. 3 (2017) Society of Exploration Geophysicists: R183-R197. http://dx.doi.org/10.1190/geo2016-0426.1.
dc.identifier.doihttp://dx.doi.org/10.1190/geo2016-0426.1
dc.identifier.urihttps://hdl.handle.net/1911/94195
dc.language.isoeng
dc.publisherSociety of Exploration Geophysicists
dc.rightsArticle 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.subject.keywordfull-waveform inversion
dc.subject.keywordvelocity analysis
dc.subject.keywordimaging
dc.titleAn adaptive multiscale algorithm for efficient extended waveform inversion
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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