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    Elastic full-waveform inversion of vertical seismic profile data acquired with distributed acoustic sensors

    265369.pdf (1.738Mb)
    Access Status
    Open access
    Authors
    Egorov, A.
    Correa, J.
    Bona, Andrej
    Pevzner, Roman
    Tertyshnikov, Konstantin
    Glubokovskikh, Stanislav
    Puzyrev, Vladimir
    Gurevich, Boris
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Egorov, A. and Correa, J. and Bona, A. and Pevzner, R. and Tertyshnikov, K. and Glubokovskikh, S. and Puzyrev, V. et al. 2018. Elastic full-waveform inversion of vertical seismic profile data acquired with distributed acoustic sensors. Geophysics. 83 (3): pp. R273-R281.
    Source Title
    Geophysics
    DOI
    10.1190/GEO2017-0718.1
    ISSN
    0016-8033
    School
    WASM: Minerals, Energy and Chemical Engineering (WASM-MECE)
    Remarks

    Copyright © 2018 Society of Exploration Geophysicists.

    URI
    http://hdl.handle.net/20.500.11937/67125
    Collection
    • Curtin Research Publications
    Abstract

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of vertical seismic profile (VSP) surveys. DAS data are increasingly used for seismic imaging, but not for estimating rock properties. We have developed a workflow for estimating elastic properties of the subsurface using full-waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multioffset VSP data set for a vertical well shows that the inversion of the vertical component alone is sufficient to recover elastic properties of the subsurface. Application of the proposed workflow to a multioffset DAS data set acquired at the CO2CRC Otway Project site in Victoria, Australia, reveals salient subhorizontal layering consistent with the known geology of the site. The inverted VP model at the well location matches the upscaled VP log with a correlation coefficient of 0.85.

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