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dc.contributor.authorWu, Zedong
dc.contributor.authorAlonaizi, Faisal
dc.contributor.authorAlkhalifah, Tariq Ali
dc.contributor.authorZhang, Zhendong
dc.contributor.authorAlmalki, Majed
dc.date.accessioned2019-02-24T08:36:04Z
dc.date.available2019-02-24T08:36:04Z
dc.date.issued2018-08-27
dc.identifier.citationWu Z, Alonaizi F, Alkhalifah T, Zhang Z, Almalki M (2018) A robust full-waveform inversion based on a shifted correlation of the envelope of wavefields. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2991067.1.
dc.identifier.doi10.1190/segam2018-2991067.1
dc.identifier.urihttp://hdl.handle.net/10754/631149
dc.description.abstractThe standard full waveform inversion (FWI) attempts to minimize the difference between the observed and modeled data. When the initial velocity is kinematically accurate, FWI often converges to to the best velocity model, usually of a high-resolution nature. However, when the modeled data using an initial velocity is far from the observed data, conventional local gradient based methods converge to a solution near the initial velocity instead of the global minimum. This is also known as the cycle skipping problem, which results in a zero correlation when observed and modeled data are not correlated. To reduce the cycle-skipping problem, we can compare the envelope of the modeled and observed data instead of the original data. However, when the initial velocity is not good enough, the correlation of the envelope of the modeled and observed data do not contribute accurately to the gradient. To mitigate this issue, we suggest to maximize not only the zero-lag correlation of the envelope but also the non-zero-lag correlation of the envelope. A weighting function, which has its maximum value at zero lag and decays away from zero lag, is proposed to balance the role of the lags. The resulting objective function is less sensitive to the choice of the maximum lag allowed and has a wider radius of convergence compared to standard FWI and envelope inversions. The implementation has the same computational complexity as conventional FWI as the only difference in the calculation is related to the modified adjoint source. We implement this algorithm on the AMD GPU based on OPENCL and obtained about a 14 fold speed up compared to a CPU implementation based on OPENMP. At last, several numerical examples are shown to demonstrate the proper convergence of the proposed method. Application to the Marmousi model shows that this method converges starting with a linearly increasing velocity model, even with data free of frequencies below 3 Hz.
dc.description.sponsorshipWe thank KAUST for its support and we thank the SWAG group for collaborative environment. The numerical experiments were performed on the super computer SANAM, which is hosted by King Abdulaziz City for Science and Technology, Saudi Arabia. We also thank the support team of SANAM for their useful help.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/segam2018-2991067.1
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2018
dc.subjectfull-waveform inversion
dc.subjectisotropic
dc.subjectvelocity analysis
dc.subjectcompressional wave (P-wave)
dc.subjecttime-domain
dc.titleA robust full-waveform inversion based on a shifted correlation of the envelope of wavefields
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.identifier.journalSEG Technical Program Expanded Abstracts 2018
dc.conference.date2018-10-14 to 2018-10-19
dc.conference.name88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
dc.conference.locationAnaheim, CA, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionKing Abdulaziz City for Science and Technology
kaust.personWu, Zedong
kaust.personAlkhalifah, Tariq Ali
kaust.personZhang, Zhendong
refterms.dateFOA2019-02-24T09:03:01Z
dc.date.published-online2018-08-27
dc.date.published-print2018-08-27


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