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dc.contributor.authorLi, Jing
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2017-07-19T10:45:05Z
dc.date.available2017-07-19T10:45:05Z
dc.date.issued2016-09
dc.identifier.citationLi J, Schuster G (2016) Skeletonized wave equation of surface wave dispersion inversion. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13770057.1.
dc.identifier.doi10.1190/segam2016-13770057.1
dc.identifier.urihttp://hdl.handle.net/10754/625232
dc.description.abstractWe present the theory for wave equation inversion of dispersion curves, where the misfit function is the sum of the squared differences between the wavenumbers along the predicted and observed dispersion curves. Similar to wave-equation travel-time inversion, the complicated surface-wave arrivals in traces are skeletonized as simpler data, namely the picked dispersion curves in the (kx,ω) domain. Solutions to the elastic wave equation and an iterative optimization method are then used to invert these curves for 2D or 3D velocity models. This procedure, denoted as wave equation dispersion inversion (WD), does not require the assumption of a layered model and is less prone to the cycle skipping problems of full waveform inversion (FWI). The synthetic and field data examples demonstrate that WD can accurately reconstruct the S-wave velocity distribution in laterally heterogeneous media.
dc.description.sponsorshipWe thank the 2016 sponsors of Center for Subsurface Imaging and Fluid Modeling (CSIM) at King Abdullah University of Science and Technology (KAUST) for their support. We also send the appreciation to KAUST Supercomputing Laboratory.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2016-13770057.1
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2016
dc.subjectinversion
dc.subjectsurface wave
dc.subjectwave equation
dc.titleSkeletonized wave equation of surface wave dispersion inversion
dc.typeConference Paper
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 2016
dc.eprint.versionPublisher's Version/PDF
kaust.personLi, Jing
kaust.personSchuster, Gerard T.
refterms.dateFOA2018-06-14T02:28:27Z
dc.date.published-online2016-09
dc.date.published-print2016-09


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