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dc.contributor.authorSong, Chao
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2020-03-03T06:45:20Z
dc.date.available2020-03-03T06:45:20Z
dc.date.issued2019-08-26
dc.identifier.citationSong, C., & Alkhalifah, T. (2019). An Efficient Wavefield Inversion for Transversely Isotropic Media with a Vertical Symmetry Axis. 81st EAGE Conference and Exhibition 2019. doi:10.3997/2214-4609.201901044
dc.identifier.doi10.3997/2214-4609.201901044
dc.identifier.urihttp://hdl.handle.net/10754/661860
dc.description.abstractConventional FWI aims at retrieving a high-resolution velocity model directly from the wavefields measured at the sensor locations forming a highly nonlinear optimization problem. Considering the Earth is truly anisotropic, a multi parameter inversion imposes additional challenges in exacerbating the Null space problem and the parameter tradeoff issue. Alternatively, we formulate an optimization problem to reconstruct the wavefield in an efficient matter in the background model by using an enhanced source function (which includes secondary sources), and thus, reducing updates to the model. In this setup, the inversion for the wavefield is linear. The inversion for the anisotropic parameters are handled in a separate optimization using the wavefield and the enhanced source function. We show the effectiveness of this approach in reducing parameter tradeoff and in inverting for an anisotropic Marmousi model.
dc.description.sponsorshipWe thank KAUST for its support and the SWAG group for the collaborative environment. This work utilized the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, and we are grateful for that.
dc.publisherEAGE Publications
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=97967
dc.rightsArchived with thanks to EAGE Publications BV
dc.titleAn efficient wavefield inversion for transversely isotropic media with a vertical symmetry axis
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.conference.date2019-06-03 to 2019-06-06
dc.conference.name81st EAGE Conference and Exhibition 2019
dc.conference.locationLondon, GBR
dc.eprint.versionPre-print
kaust.personSong, Chao
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2020-03-04T05:39:04Z
kaust.acknowledged.supportUnitSupercomputing Laboratory
kaust.acknowledged.supportUnitSWAG group


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