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dc.contributor.authorLiu, Qiancheng
dc.date.accessioned2019-02-10T08:14:20Z
dc.date.available2019-02-10T08:14:20Z
dc.date.issued2019-03-26
dc.identifier.citationLiu Q (2019) Dip-angle image gathers computation using Poynting vector in elastic reverse-time migration and their application for noise suppression. GEOPHYSICS: 1–64. Available: http://dx.doi.org/10.1190/geo2018-0229.1.
dc.identifier.issn0016-8033
dc.identifier.issn1942-2156
dc.identifier.doi10.1190/geo2018-0229.1
dc.identifier.urihttp://hdl.handle.net/10754/631010
dc.description.abstractAngle-domain common-imaging gathers (ADCIGs) are important in analyzing the subsurface discontinuities where the reflection-waves take place. In elastic reverse-time migration (E-RTM), the dip-angle ADCIGs can be computed post-migration via the subsurface offset extension. We here obtain dip-angle ADCIG pre-migration in E-RTM by using Poynting vector, which is likely to compute during wavefield propagation. The reflection normal of PP imaging is the bisector of the scattering angle while that of PS imaging is not. We derive formulas to estimate PP and PS dip-angle ADCIGs, respectively, with some straightforward vector operations. Similar to the subsurface-offset method, our method also has dip-angle ADCIGs with the appearance of blocky horizontal coherence. According to the theory of local semblance analysis, the signal with better horizontal coherence has a higher semblance score, and vice versa. We can thus design a specularity filter to suppress incoherent noises according to their corresponding local semblance scores. We validate our methods with numerical examples. Both the Graben data and Marmousi data show that our methods work effectively in dip-angle ADCIG computation and the following noise suppression in E-RTM. We also apply our methods to the field data.
dc.description.sponsorshipWe are grateful to editors Jeffrey Shragge, Vetle Vinje, and the anonymous reviewers for improving the initial manuscript. We thank J. Zhang and H. Zhang for fruitful discussion. The research reported in this publication is supported by the King Abdullah University of Science and Technology (KAUST). For computer time, this research used the resources of the Information Technology Division and Extreme Computing Research Center (ECRC) at KAUST.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/geo2018-0229.1
dc.rightsArchived with thanks to GEOPHYSICS
dc.titleDip-angle image gathers computation using Poynting vector in elastic reverse-time migration and their application for noise suppression
dc.typeArticle
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalGEOPHYSICS
dc.eprint.versionPost-print
kaust.personLiu, Qiancheng
refterms.dateFOA2019-02-11T10:52:45Z
dc.date.published-online2019-03-26
dc.date.published-print2019-05


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