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dc.contributor.authorWang, Guanchao
dc.contributor.authorGuo, Qiang
dc.contributor.authorAlkhalifah, Tariq Ali
dc.contributor.authorWang, Shangxu
dc.date.accessioned2020-06-09T10:38:26Z
dc.date.available2020-06-09T10:38:26Z
dc.date.issued2020-06-10
dc.date.submitted2019-08-20
dc.identifier.citationWang, G., Guo, Q., Alkhalifah, T., & Wang, S. (2020). Frequency-domain least-squares generalized internal multiple imaging with the energy norm. GEOPHYSICS, 1–51. doi:10.1190/geo2019-0563.1
dc.identifier.issn0016-8033
dc.identifier.issn1942-2156
dc.identifier.doi10.1190/geo2019-0563.1
dc.identifier.urihttp://hdl.handle.net/10754/663445
dc.description.abstractRecorded seismic data contain various types of scattered energy, including those corresponding to multiples. Traditional imaging techniques are focused on the single-scattering events, and thus, may fail to image crucial structures, such as salt flanks and faults that sometimes are only illuminated by the multiple scattered energy. The recently introduced generalized internal multiple imaging (GIMI) offers an opportunity to image multiples by projecting the recorded data back into the subsurface, followed by an interferometric cross-correlation of the subsurface wavefield with the recorded data. During this process, the interferometric step converts the first-order scattering to a tomographic component and the double-scattering forms the primary reflectivity. Dealing with a large volume of data consisting of full wavefields over the image space, renders the interferometric step computationally expensive in time-domain. To make the implementation of GIMI tractable, we formulate its frequency-domain version. Moreover, we use the energy norm imaging condition to separate the reflectivity part from the tomographic component. We demonstrate these features with numerical experiments.
dc.description.sponsorshipWe greatly appreciate the financial support of the National Key Research Development Program of China (2018YFA07025002018YFA0702504). We thank KAUST for its support and SWAG for the collaborative environment. Guanchao Wang also wishes to thank the China Scholarship Council for support to study abroad
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/geo2019-0563.1
dc.rightsArchived with thanks to GEOPHYSICS
dc.titleFrequency-domain least-squares generalized internal multiple imaging with the energy norm
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.journalGEOPHYSICS
dc.eprint.versionPost-print
dc.contributor.institutionChina Railway Design Corporation, National Engineering Laboratory for Digital Construction and Evaluation Technology of Urban Rail Transit, Tianjin 300251, China..
dc.contributor.institutionChina University of Petroleum, State Key Laboratory of Petroleum Resources and Prospecting, Changping, Beijing 102249, China..
dc.identifier.pages1-51
kaust.personGuo, Qiang
kaust.personAlkhalifah, Tariq Ali
dc.date.accepted2020-06-05
refterms.dateFOA2020-06-09T10:39:29Z
kaust.acknowledged.supportUnitSWAG
dc.date.published-online2020-06-10
dc.date.published-print2020-07-01


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