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    Uncertainties in local anisotropy estimation from multi-offset VSP Data

    189487_62511_Uncertainties_in_Local_Anisotropy_Estimation_from_Multi.pdf (491.7Kb)
    Access Status
    Open access
    Authors
    Asgharzadeh, Mehdi
    Bona, Andrej
    Pevzner, Roman
    Urosevic, Milovan
    Gurevich, Boris
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Asgharzadeh, M. and Bona, A. and Pevzner, R. and Urosevic, M. and Gurevich, B. 2012. Uncertainties in local anisotropy estimation from multi-offset VSP Data, in Proceedings of the 74th EAGE Conference and Exhibition- Incorporating SPE EUROPEC 2012, Jun 4-7 2012. Copenhagen, Denmark: European Association of Geoscientists & Engineers (EAGE).
    Source Title
    EAGE Conference Proceedings & Exhibitors' Catalogue
    Source Conference
    74th European Association of Geoscientists and Engineers Conference and Exhibition- Incorporating SPE EUROPEC 2012
    Additional URLs
    http://www.earthdoc.org
    http://www.earthdoc.org/publication/publicationdetails/?publication=58906
    ISBN
    978-90-73834-27-9
    URI
    http://hdl.handle.net/20.500.11937/12241
    Collection
    • Curtin Research Publications
    Abstract

    We have quantified the errors associated with VTI parameter estimation using multi-offset VSP data. Two common methods, P-wave slownesses only and slowness-polarization are investigated. Estimation errors are expressed in terms of the magnitude of the earth anisotropy, uncertainties related to first break pickings and maximum available source offset. For homogeneous overburden, P-wave slownesses technique can be used to estimate VTI parameters. We demonstrate that estimation errors of using only P-wave slownesses are significantly decreased as longer source offsets are included in the inversion algorithm. Larger offsets involve P-waves which propagate near horizontal at the receiver level and enhance the method's efficiency. An example synthetic VSP is presented next where P-wave slownesses technique successfully recovers VTI model parameters. In case of heterogeneous overburden, P-wave slowness-polarization technique seems to be a solution as there is no need to compute P-wave horizontal slownesses. However, we demonstrate that the errors of VTI parameter estimation using this technique are small only where the anisotropy is very weak (below 5%) and they are not improved by increasing the offset. Furthermore, wave interference effect on polarizations makes the method impractical even on noise free synthetic data.

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