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dc.contributor.authorLi, Jing
dc.contributor.authorHanafy, Sherif
dc.date.accessioned2018-02-21T12:27:53Z
dc.date.available2018-02-21T12:27:53Z
dc.date.issued2016-07-14
dc.identifier.citationLi J, Hanafy S (2016) Skeletonized inversion of surface wave: Active source versus controlled noise comparison. Interpretation 4: SH11–SH19. Available: http://dx.doi.org/10.1190/int-2015-0174.1.
dc.identifier.issn2324-8858
dc.identifier.issn2324-8866
dc.identifier.doi10.1190/int-2015-0174.1
dc.identifier.urihttp://hdl.handle.net/10754/627153
dc.description.abstractWe have developed a skeletonized inversion method that inverts the S-wave velocity distribution from surface-wave dispersion curves. Instead of attempting to fit every wiggle in the surface waves with predicted data, it only inverts the picked dispersion curve, thereby mitigating the problem of getting stuck in a local minimum. We have applied this method to a synthetic model and seismic field data from Qademah fault, located at the western side of Saudi Arabia. For comparison, we have performed dispersion analysis for an active and controlled noise source seismic data that had some receivers in common with the passive array. The active and passive data show good agreement in the dispersive characteristics. Our results demonstrated that skeletonized inversion can obtain reliable 1D and 2D S-wave velocity models for our geologic setting. A limitation is that we need to build layered initial model to calculate the Jacobian matrix, which is time consuming.
dc.description.sponsorshipWe thank the sponsors for supporting the Center for Subsurface Imaging and Fluid Modeling (CSIM). We thank KAUST for funding this research.
dc.publisherSociety of Exploration Geophysicists
dc.rightsArchived with thanks to the Society of Exploration Geophysicists
dc.titleSkeletonized inversion of surface wave: Active source versus controlled noise comparison
dc.typeArticle
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalInterpretation
dc.eprint.versionPublisher's version/PDF
kaust.personLi, Jing
kaust.personHanafy, Sherif
refterms.dateFOA2018-06-14T05:27:50Z
kaust.acknowledged.supportUnitCenter for Subsurface Imaging and Fluid Modeling (CSIM)
dc.date.published-online2016-07-14
dc.date.published-print2016-08


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