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dc.contributor.authorSun, Bingbing
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2020-03-03T06:38:40Z
dc.date.available2020-03-03T06:38:40Z
dc.date.issued2019-08-26
dc.identifier.citationSun, B., & Alkhalifah, T. (2019). Salt Body Inversion Using an Optimal Transport of the Preconditioned Matching Filter. 81st EAGE Conference and Exhibition 2019. doi:10.3997/2214-4609.201900878
dc.identifier.doi10.3997/2214-4609.201900878
dc.identifier.urihttp://hdl.handle.net/10754/661858
dc.description.abstractThe least squares L2 norm is susceptible to local minima if the low wavenumber components of the initial model are not accurate, and this happens often with data corresponding to salt bodies. Deconvolution of the predicted and observed data offers an extended comparison, which is more global. The matching filter calculated from the deconvolution has energy focussed at zero-lag, like a Dirac delta function, when the velocity model is accurate, and the predicted data matches the observed one. We utilize a framework for designing a misfit function by measuring the Wasserstein distance W2 between the resulting matching filter and a representation of the Dirac delta function based on the optimal transport theory. Unlike data, the matching filter can be easily transformed into a distribution satisfying the requirement of the optimal transport theory. This optimal transport between two distributions leads to minimizing the least squares difference of the mean and variance of the distributions. If the objective for the matching filter is a Dirac delta function, i.e., with both zero mean and variance, the optimization reduces to the adaptive waveform inversion (AWI) misfit. Along with a total variation constraint, this method can invert for the BP model with high accuracy.
dc.publisherEAGE Publications
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=97536
dc.rightsArchived with thanks to EAGE Publications BV
dc.titleSalt body inversion using an optimal transport of the preconditioned matching filter
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.personSun, Bingbing
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2020-03-04T05:19:20Z


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