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    Estimation of Azimuthal anisotropy from VSP data using multicomponent velocity analysis

    132559_12111_043EAGEPevzner.pdf (2.363Mb)
    Access Status
    Open access
    Authors
    Pevzner, Roman
    Gurevich, Boris
    Duncan, G.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Pevzner, Roman and Gurevich, Boris and Duncan, G. 2009. Estimation of Azimuthal anisotropy from VSP data using multicomponent velocity analysis, in EAGE Publications (ed), 71st EAGE Conference & Exhibition, Jun 8 2009. Amsterdam: EAGE.
    Source Title
    EAGE Programme & Catalogue
    Source Conference
    71st EAGE Conference & Exhibition
    ISBN
    9789073781672
    Faculty
    Department of Exploration Geophysics
    Faculty of Science and Engineering
    WA School of Mines
    URI
    http://hdl.handle.net/20.500.11937/25596
    Collection
    • Curtin Research Publications
    Abstract

    Observation of azimuthal shear wave anisotropy can be useful for characterisation of fractures or stress field. Shear wave anisotropy is often estimated by measuring splitting of individual shear-wave events on VSP data; however this method may become unreliable for zero-offset (marine) VSP where the seismogram often contains no strong individual shear events but many low-amplitude PS conversions. In this paper we introduce a new approach to estimation of fast and slow shear wave velocities and orientation of polarization planes based on the multi-component velocity analysis. This technique is applicable to zero-offset VSP data and should take advantage of the presence of a large number of shear wave events with the same velocity. The main idea is to estimate the velocity for a given polarization direction by measuring the coherency of the seismic signal of a large number of events as a function of the apparent velocity. The algorithm was tested on marine 3C VSP acquired in the North-West Shelf of Australia. These tests show good agreement between anisotropy parameters (magnitude and orientation) derived from the VSP and cross-dipole sonic log data.

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