Elastic Full Waveform Inversion (FWI) of reflection data with a phase misfit function
Document typePart of book or chapter of book
PublisherSpringer International Publishing
Rights accessRestricted access - publisher's policy (embargoed until 2017-04-08)
Full Waveform Inversion of elastic dataset is challenging due to the complexity introduced by free-surface effects or P-S wave conversions among others. In this context, large offsets are preferred for inversion because they favor transmission modes which are more linearly related to P-wave velocity. In this paper, we present an original approach which allows to dynamically select the near offset at each frequency. We illustrate this approach with the inversion of a dataset without density. In order to deal with a more realistic scenario, we next present the inversion with density effects included into the modeling. As inverting density is known to be a hard task, we choose to not invert it. This approach leads to the use of a phase misfit function, which is more connected to the kinematics of the problem than the classic L2 norm.
CitationKormann, Jean [et al.]. Elastic FWI of reflection data with a phase misfit function. A: 6th International Conference, ISUM 2015, Mexico City, Mexico, March 9-13, 2015. "High Performance Computer Applications". Springer International Publishing, 2016, p. 277-284.
Is part ofCommunications in Computer and Information Science, 595
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