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dc.contributor.authorLi, Jing
dc.contributor.authorFeng, Zongcai
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2017-03-15T07:15:28Z
dc.date.available2017-03-15T07:15:28Z
dc.date.issued2016-12-10
dc.identifier.citationLi J, Feng Z, Schuster G (2016) Wave-equation dispersion inversion. Geophysical Journal International 208: 1567–1578. Available: http://dx.doi.org/10.1093/gji/ggw465.
dc.identifier.issn0956-540X
dc.identifier.issn1365-246X
dc.identifier.doi10.1093/gji/ggw465
dc.identifier.urihttp://hdl.handle.net/10754/623009
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. The dispersion curves are obtained from Rayleigh waves recorded by vertical-component geophones. Similar to wave-equation traveltime tomography, the complicated surface wave arrivals in traces are skeletonized as simpler data, namely the picked dispersion curves in the phase-velocity and frequency domains. Solutions to the elastic wave equation and an iterative optimization method are then used to invert these curves for 2-D or 3-D S-wave velocity models. This procedure, denoted as wave-equation dispersion inversion (WD), does not require the assumption of a layered model and is significantly less prone to the cycle-skipping problems of full waveform inversion. The synthetic and field data examples demonstrate that WD can approximately reconstruct the S-wave velocity distributions in laterally heterogeneous media if the dispersion curves can be identified and picked. The WD method is easily extended to anisotropic data and the inversion of dispersion curves associated with Love waves.
dc.description.sponsorshipWe thank the financial support from the sponsors of the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). We also thank KAUST for providing funding by the CRG grantOCRF-2014-CRG3-2300. For computer time, this research used the resources of the IT Research Computing Group and the Supercomputing Laboratory at KAUST. We thank them for providing the computational resources required for carrying out this work.
dc.publisherOxford University Press (OUP)
dc.relation.urlhttps://academic.oup.com/gji/article-lookup/doi/10.1093/gji/ggw465
dc.rightsThis article has been accepted for publication in Geophysical Journal International Published by Oxford University Press on behalf of the Royal Astronomical Society.
dc.subjectInverse theory
dc.subjectSeismic tomography
dc.subjectSurface waves and free oscillations
dc.titleWave-equation dispersion inversion
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.journalGeophysical Journal International
dc.eprint.versionPublisher's Version/PDF
kaust.personLi, Jing
kaust.personFeng, Zongcai
kaust.personSchuster, Gerard T.
kaust.grant.numberOCRF-2014-CRG3-2300
refterms.dateFOA2018-06-14T02:19:46Z
dc.date.published-online2016-12-10
dc.date.published-print2017-03-01


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