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    Estimation of intrinsic Q in finely-layered media by wavefield inversion of VSP data - Australian North West Shelf case-study

    Access Status
    Fulltext not available
    Authors
    Pirogova, A.
    Gurevich, B.
    Pevzner, R.
    Glubokovskikh, Stanislav
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Pirogova, A. and Gurevich, B. and Pevzner, R. and Glubokovskikh, S. 2017. Estimation of intrinsic Q in finely-layered media by wavefield inversion of VSP data - Australian North West Shelf case-study.
    Source Title
    79th EAGE Conference and Exhibition 2017
    ISBN
    9789462822177
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/58277
    Collection
    • Curtin Research Publications
    Abstract

    Seismic waves propagating through attenuative subsurface exhibit amplitude loss and distortion of frequency spectra. Proper description of attenuation process is required to compensate for these effects. Moreover, inelastic attenuation contains information on rock properties and could be utilized in attribute analysis for subsurface characterization. We propose to quantify inelastic (intrinsic) attenuation in horizontally-layered media by wavefield inversion of VSP data with respect to effective interval Q-factors. Impact of short-path multiples in finely-layered subsurface, i.e. scattering at stratigraphic boundaries, and other interference effects are taken into account by forward simulation over a high-resolution elastic model acquired from the well logs (resolution of 1.5m). We present a case study of approximate-zero-offset vertical seismic profile data from Wheatstone offshore site (Northern Shelf of Western Australia). First we describe the algorithm of 1D waveform Q-inversion. Then we validate it on the full-wave synthetics computed for the field survey geometry using a Global Matrix approach (OASES MIT code). Finally, we discuss the results of the Q-inversion application to the field ZVSP dataset versus Q-estimates by Centroid Frequency Shift method.

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