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dc.contributor.authorLiu, Yike
dc.contributor.authorHe, Bin
dc.contributor.authorLu, Huiyi
dc.contributor.authorZhang, Zhendong
dc.contributor.authorXie, Xiao-Bi
dc.contributor.authorZheng, Yingcai
dc.date.accessioned2018-11-21T13:12:45Z
dc.date.available2018-11-21T13:12:45Z
dc.date.issued2018-10-23
dc.identifier.citationLiu Y, He B, Lu H, Zhang Z, Xie X-B, et al. (2018) Full-intensity waveform inversion. GEOPHYSICS 83: R649–R658. Available: http://dx.doi.org/10.1190/geo2017-0682.1.
dc.identifier.issn0016-8033
dc.identifier.issn1942-2156
dc.identifier.doi10.1190/geo2017-0682.1
dc.identifier.urihttp://hdl.handle.net/10754/629950
dc.description.abstractMany full-waveform inversion schemes are based on the iterative perturbation theory to fit the observed waveforms. When the observed waveforms lack low frequencies, those schemes may encounter convergence problems due to cycle skipping when the initial velocity model is far from the true model. To mitigate this difficulty, we have developed a new objective function that fits the seismic-waveform intensity, so the dependence of the starting model can be reduced. The waveform intensity is proportional to the square of its amplitude. Forming the intensity using the waveform is a nonlinear operation, which separates the original waveform spectrum into an ultra-low-frequency part and a higher frequency part, even for data that originally do not have low-frequency contents. Therefore, conducting multiscale inversions starting from ultra-low-frequency intensity data can largely avoid the cycle-skipping problem. We formulate the intensity objective function, the minimization process, and the gradient. Using numerical examples, we determine that the proposed method was very promising and could invert for the model using data lacking low-frequency information.
dc.description.sponsorshipWe thank S. Xu, H. Zhou, Y. Luo, G. T. Schuster, and M. Lu for their helpful suggestions and insightful comments. The research was partially funded by Statoil Petroleum (grant no. 4503288025), the National Nature Science Foundation of China (grant nos. 41730425 and 41430321), and The National Oil and Gas Major Project of China (grant no. 2017ZX05008-007).
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/geo2017-0682.1
dc.rightsArchived with thanks to GEOPHYSICS
dc.subjectFull-waveform inversion
dc.subjectInversion
dc.subjectLeast-squares migration
dc.titleFull-intensity waveform inversion
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalGEOPHYSICS
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionInstitute of Geology and Geophysics, Key Laboratory of Petroleum Resource Research, Chinese Academy of Sciences, Beijing, China.
dc.contributor.institutionUniversity of California at Santa Cruz, Santa Cruz, California, USA..
dc.contributor.institutionUniversity of Houston, Houston, Texas, USA.
kaust.personZhang, Zhendong
refterms.dateFOA2018-11-22T08:43:39Z
dc.date.published-online2018-10-23
dc.date.published-print2018-11


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