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dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2020-09-29T10:22:38Z
dc.date.available2020-09-29T10:22:38Z
dc.date.issued2020-06
dc.date.submitted2018-05-28
dc.identifier.citationsci, global. (2020). Linear Wavefield Optimization Usinga Modified Source. Communications in Computational Physics, 28(1), 276–296. doi:10.4208/cicp.oa-2018-0144
dc.identifier.issn1991-7120
dc.identifier.issn1815-2406
dc.identifier.doi10.4208/CICP.OA-2018-0144
dc.identifier.urihttp://hdl.handle.net/10754/665352
dc.description.abstractRecorded seismic data are sensitive to the Earth's elastic properties, and thus, they carry information of such properties in their waveforms. The sensitivity of such waveforms to the properties is nonlinear causing all kinds of difficulties to the inversion of such properties. Inverting directly for the components forming the wave equation, which includes the wave equation operator (or its perturbation), and the wavefield, as independent parameters enhances the convexity of the inverse problem. The optimization in this case is provided by an objective function that maximizes the data fitting and the wave equation fidelity, simultaneously. To enhance the practicality and efficiency of the optimization, I recast the velocity perturbations as secondary sources in a modified source function, and invert for the wavefield and the modified source function, as independent parameters. The optimization in this case corresponds to a linear problem. The inverted functions can be used directly to extract the velocity perturbation. Unlike gradient methods, this optimization problem is free of the Born approximation limitations in the update, including single scattering and cross talk that may arise for example in the case of multi sources. These specific features are shown for a simple synthetic example, as well as the Marmousi model.
dc.description.sponsorshipI thank KAUST for its support. I also thank the SWAG group for many useful discussions. I especially thank Chao Song for many fruitful exchanges. I also thank the assistant editor, Mohammad Akbar Zuberi and an anonymous reviewer for their help in reviewing the paper.
dc.publisherGlobal Science Press
dc.relation.urlhttp://global-sci.org/intro/article_detail/cicp/16837.html
dc.rightsArchived with thanks to Communications in Computational Physics
dc.titleLinear wavefield optimization using a modified source
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalCommunications in Computational Physics
dc.eprint.versionPost-print
dc.identifier.volume28
dc.identifier.issue1
dc.identifier.pages276-296
kaust.personAlkhalifah, Tariq Ali
dc.date.accepted2019-10-09
dc.identifier.eid2-s2.0-85091309301
refterms.dateFOA2020-10-04T05:49:52Z
kaust.acknowledged.supportUnitSWAG group
dc.date.published-online2020-06
dc.date.published-print2020-06


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