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dc.contributor.authorWang, Tengfei
dc.contributor.authorCheng, Jiubing
dc.date.accessioned2018-01-04T07:51:38Z
dc.date.available2018-01-04T07:51:38Z
dc.date.issued2017-08-17
dc.identifier.citationWang T, Cheng J (2017) Born reflection kernel analysis and wave-equation reflection traveltime inversion in elastic media. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17745788.1.
dc.identifier.doi10.1190/segam2017-17745788.1
dc.identifier.urihttp://hdl.handle.net/10754/626679
dc.description.abstractElastic reflection waveform inversion (ERWI) utilize the reflections to update the low and intermediate wavenumbers in the deeper part of model. However, ERWI suffers from the cycle-skipping problem due to the objective function of waveform residual. Since traveltime information relates to the background model more linearly, we use the traveltime residuals as objective function to update background velocity model using wave equation reflected traveltime inversion (WERTI). The reflection kernel analysis shows that mode decomposition can suppress the artifacts in gradient calculation. We design a two-step inversion strategy, in which PP reflections are firstly used to invert P wave velocity (Vp), followed by S wave velocity (Vs) inversion with PS reflections. P/S separation of multi-component seismograms and spatial wave mode decomposition can reduce the nonlinearity of inversion effectively by selecting suitable P or S wave subsets for hierarchical inversion. Numerical example of Sigsbee2A model validates the effectiveness of the algorithms and strategies for elastic WERTI (E-WERTI).
dc.description.sponsorshipThis work is supported by the National Natural Science Foundation of China (NO.41474099, 41674117 & 41630964). This paper is also based upon the work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under award NO. 2230. We appreciate the open-source package of DENISE from https://github.com/danielkoehn/ and Mines Java Toolkit from https://github.com/dhale. We thank the useful advice from Tariq Alkhalifah (KAUST), Qiang Guo (KAUST), Zedong Wu (KAUST), Chenlong Wang (Tongji University) and Benxin Chi (Los Alamos).
dc.publisherSociety of Exploration Geophysicists
dc.subjectmultiparameter
dc.subjectreflection
dc.subjectelastic
dc.subjectfull-waveform inversion
dc.titleBorn reflection kernel analysis and wave-equation reflection traveltime inversion in elastic media
dc.typeConference Paper
dc.identifier.journalSEG Technical Program Expanded Abstracts 2017
dc.contributor.institutionTongji University
dc.date.published-online2017-08-17
dc.date.published-print2017-08-17


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