Generalized recursive convolution method for viscoelastic wave modelling

C. Jin, B. Zhou, S. Greenhalgh, M. Won, M. K. Riahi, M. J. Zemerly

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    Seismic wavefield forward modeling in viscoelastic media is fundamental for both data processing and interpretation in seismic exploration. We develop a generalized recursive convolution method to accurately calculate the temporal convolutions, which are required by the constitutive relationship for anelasticity rather than solving many auxiliary partial differential equations of memory variables. The new method is based on a Taylor series expansion of the temporal convolution and is very competitive with the widely-used memory variable method and the conventional recursive convolution methods. We conduct theoretical and numerical comparisons of the new method with the common leapfrog time-stepping memory variable method and other traditional recursive convolution methods. Our numerical examples verify the accuracy of the new method for viscoacoustic and viscoelastic wave modeling.

    Original languageBritish English
    Title of host publication84th EAGE Annual Conference and Exhibition
    Pages1959-1963
    Number of pages5
    ISBN (Electronic)9781713884156
    StatePublished - 2023
    Event84th EAGE Annual Conference and Exhibition - Vienna, Austria
    Duration: 5 Jun 20238 Jun 2023

    Publication series

    Name84th EAGE Annual Conference and Exhibition
    Volume3

    Conference

    Conference84th EAGE Annual Conference and Exhibition
    Country/TerritoryAustria
    CityVienna
    Period5/06/238/06/23

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