Structural similarity regularization scheme for multiparameter seismic full waveform inversion

Maokun Li, Lin Liang, Aria Abubakar, Peter M. Van Den Berg

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Abstract

    We introduce a new regularization scheme for multiparameter seismic full-waveform inversion (FWI). Using this scheme, we can constrain spatial variations of parameters which are having a weak sensitivity with the one that having a good sensitivity to the measurement, assuming that these parameters have similarities in their structures. In seismic FWI, we apply this scheme when inverting the P-wave velocity and mass density simultaneously. Results from numerical tests show that this scheme may significantly improve the reconstruction of the mass density. Since we obtain an improved mass-density distribution, the inverted P-wave velocity is also enhanced. Hence, we also obtain a better data fit. As numerical examples we show inversions of both vertical seismic profiling (VSP) and surface seismic measurements.

    Original languageEnglish
    Title of host publicationSociety of Exploration Geophysicists International Exposition and 83rd Annual Meeting, SEG 2013
    Subtitle of host publicationExpanding Geophysical Frontiers
    EditorsJ. Schulke
    PublisherSociety of Exploration Geophysicists
    Pages1089-1094
    ISBN (Print)978-162993188-3
    DOIs
    Publication statusPublished - 2013
    EventSEG international exposition and 83rd annual meeting, Houston, USA - Tulsa, Houston, United States
    Duration: 22 Sept 201327 Sept 2013

    Publication series

    NameSEG Technical Program Expanded Abstracts 2013
    PublisherSEG
    ISSN (Electronic)1949-4645

    Conference

    ConferenceSEG international exposition and 83rd annual meeting, Houston, USA
    Country/TerritoryUnited States
    CityHouston
    Period22/09/1327/09/13

    Keywords

    • algorithm
    • frequency-domain
    • , full-waveform inversion

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