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    3D diffraction imaging of linear features and its application to seismic monitoring

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    Authors
    Alonaizi, Faisal
    Pevzner, Roman
    Bona, Andrej
    Shulakova, V.
    Gurevich, Boris
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Alonaizi, Faisal and Pevzner, Roman and Bona, Andrej and Shulakova, V and Gurevich, Boris. 2013. 3D diffraction imaging of linear features and its application to seismic monitoring. Geophysical Prospecting. 61 (6): pp. 1206-1217.
    Source Title
    Geophysical Prospecting
    DOI
    10.1111/1365-2478.12063
    ISSN
    0016-8025
    URI
    http://hdl.handle.net/20.500.11937/18098
    Collection
    • Curtin Research Publications
    Abstract

    Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. The seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase-reversal phenomena of edge diffractions and uses them as a criterion to separate these diffractions from specular reflections and diffractions produced by a leaner object. The performance of the method is demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image that contains only diffraction events called the D-volume. We also reveal the potential of diffractions to image and track the changes of a CO2 plume using time-lapse analysis and detect any possible CO2 seepage from its primary containment.

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