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dc.contributor.authorZhang, Sanzong
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2016-01-13T09:55:21Z
dc.date.available2016-01-13T09:55:21Z
dc.date.issued2014-08-05
dc.identifier.citationSanzongZhang and GerardSchuster (2014) Image-domain full waveform inversion: Field data example. SEG Technical Program Expanded Abstracts 2014: pp. 966-970. doi: 10.1190/segam2014-1441.1
dc.identifier.doi10.1190/segam2014-1441.1
dc.identifier.urihttp://hdl.handle.net/10754/593373
dc.description.abstractThe main difficulty with the data-domain full waveform inversion (FWI) is that it tends to get stuck in the local minima associated with the waveform misfit function. This is the result of cycle skipping which degrades the low-wavenumber update in the absence of low-frequencies and long-offset data. An image-domain objective function is defined as the normed difference between the predicted and observed common image gathers (CIGs) in the subsurface offset domain. This new objective function is not constrained by cycle skipping at the far subsurface offsets. To test the effectiveness of this method, we apply it to marine data recorded in the Gulf of Mexico. Results show that image-domain FWI is less sensitive to the initial model and the absence of low-frequency data compared with conventional FWI. The liability, however, is that it is almost an order of magnitude more expensive than standard FWI.
dc.language.isoen
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttp://library.seg.org/doi/abs/10.1190/segam2014-1441.1
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2014
dc.subjectinversion
dc.subjecttomography
dc.subjectfull-waveform inversion
dc.titleImage-domain full waveform inversion: Field data example
dc.typeArticle
dc.contributor.departmentCenter for Subsurface Imaging and Fluid Modeling
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalSEG Technical Program Expanded Abstracts 2014
dc.eprint.versionPublisher's Version/PDF
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personZhang, Sanzong
kaust.personSchuster, Gerard T.
refterms.dateFOA2018-06-13T13:47:36Z
dc.date.published-online2014-08-05
dc.date.published-print2014-08-05


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