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dc.contributor.authorLi, Vladimir
dc.contributor.authorGuitton, Antoine
dc.contributor.authorTsvankin, Ilya
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2019-02-24T08:36:13Z
dc.date.available2019-02-24T08:36:13Z
dc.date.issued2018-08-27
dc.identifier.citationLi V, Guitton A, Tsvankin I, Alkhalifah T (2018) Image-guided wavefield tomography for VTI media. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2996404.1.
dc.identifier.doi10.1190/segam2018-2996404.1
dc.identifier.urihttp://hdl.handle.net/10754/631150
dc.description.abstractTransversely isotropic (TI) models have become essential in generating accurate depth images from seismic data. Here, we develop image-domain tomography (IDT) for building acoustic VTI (TI with a vertical symmetry axis) models from P-wave reflection data. Based on a separable dispersion relation, the modeling operator extrapolates only P-wavefields without the shear-wave artifacts. The inversion algorithm includes least-squares reverse-time migration (LSRTM), which improves the quality of the extended images and accuracy of parameter estimation. Whereas the zero-dip NMO velocity (V) and anellipticity parameter η are updated by focusing energy in space-lag LSRTM gathers, the Thomsen parameter δ is constrained by image-guided interpolation between two or more boreholes. We also apply image-guided smoothing to the IDT gradients of V and η to steer the inversion towards geologically plausible models. To mitigate the trade-off between V and η, we adopt a multistage approach that gradually relaxes the constraints on the spatial η-variation. The robustness of the algorithm is demonstrated on the elastic VTI Marmousi-II model. We also present preliminary inversion results for a line from a 3D data set acquired in the Gulf of Mexico.
dc.description.sponsorshipThis work was supported by the Consortium Project on SeismicInverse Methods for Complex Structures at CWP and competitive research funding from King Abdullah University of Science and Technology (KAUST). We are grateful to Shell Explorationand Production Company for sharing the 3D Gulf of Mexicodata set with Colorado School of Mines, and their permissionto publish the results using this data set. We also thank DanielRocha (CWP) for help in preprocessing the data.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/segam2018-2996404.1
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2018
dc.subjectVTI
dc.subjectleast-squares migration
dc.subjectmultiparameter
dc.subjectinversion
dc.subjectreverse time migration
dc.titleImage-guided wavefield tomography for VTI media
dc.typeConference Paper
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalSEG Technical Program Expanded Abstracts 2018
dc.conference.date2018-10-14 to 2018-10-19
dc.conference.name88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
dc.conference.locationAnaheim, CA, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionCenter for Wave Phenomena, Colorado School of Mines
dc.contributor.institutionDownUnder GeoSolutions, Denver, USA
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2019-02-24T09:01:49Z
dc.date.published-online2018-08-27
dc.date.published-print2018-08-27


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