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    Seismic reflectivity of hydraulic fractures approximated by thin fluid layers

    Access Status
    Fulltext not available
    Authors
    Oelke, A.
    Alexandrov, D.
    Abakumov, I.
    Glubokovskikh, Stanislav
    Shigapov, R.
    Krüger, O.
    Kashtan, B.
    Troyan, V.
    Shapiro, S.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Oelke, A. and Alexandrov, D. and Abakumov, I. and Glubokovskikh, S. and Shigapov, R. and Krüger, O. and Kashtan, B. et al. 2013. Seismic reflectivity of hydraulic fractures approximated by thin fluid layers. Geophysics. 78 (4).
    Source Title
    Geophysics
    DOI
    10.1190/GEO2012-0269.1
    ISSN
    0016-8033
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/15011
    Collection
    • Curtin Research Publications
    Abstract

    We have analyzed the angle-dependent reflectivity of microseismic wavefields at a hydraulic fracture, which we modeled as an ideal thin fluid layer embedded in an elastic, isotropic solid rock. We derived full analytical solutions for the reflections of an incident P-wave, the P-P and P-S reflection coefficients, as well as for an incident S-wave, and the S-S and S-P reflection coefficients. The rather complex analytical solutions were then approximated and we found that these zero-thickness limit approximations are in good agreement with the linear slip model, representing a fracture at slip contact. We compared the analytical solutions for the P-P reflections with synthetic data that were derived using finitedifference modeling and found that the modeling confirmed our theoretical results. For typical parameters of microseismic monitoring by hydraulic fracturing, e.g., a layer thickness of h = 0.001-0.01 m and frequencies of f = 50-400 Hz, the reflection coefficients depend on the Poisson's ratio. Furthermore, the reflection coefficients of an incident S-wave are remarkably high. Theoretical results suggested that it is feasible to image hydraulic fractures using microseismic events as a source and to solve the inverse problem, that is, to interpret reflection coefficients extracted from microseismic data in terms of reservoir properties.

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