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    Shear wave velocity prediction using seismic attributes and well log data

    213726_144807_87268_Rasouli.pdf (7.467Mb)
    Access Status
    Open access
    Authors
    Gholami, Raoof
    Moradzadeh, A.
    Rasouli, Vamegh
    Hanachi, J.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Gholami, R. and Moradzadeh, A. and Rasouli, V. and Hanachi, J. 2014. Shear wave velocity prediction using seismic attributes and well log data. Acta Geophysica. 62: (4) : pp. 818-848.
    Source Title
    Acta Geophysica
    DOI
    10.2478/s11600-013-0200-7
    ISSN
    1895-6572
    School
    Department of Petroleum Engineering
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by-nc-nd/3.0/.Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/12369
    Collection
    • Curtin Research Publications
    Abstract

    Formation’s properties can be estimated indirectly using joint analysis of compressional and shear wave velocities. Shear wave data isnot usually acquired during well logging, which is most likely for costsaving purposes. Even if shear data is available, the logging programs provide only sparsely sampled one-dimensional measurements: this informationis inadequate to estimate reservoir rock properties. Thus, if the shear wave data can be obtained using seismic methods, the results can be used across the field to estimate reservoir properties. The aim of this paper is to use seismic attributes for prediction of shear wave velocity in a field located in southern part of Iran. Independent component analysis(ICA) was used to select the most relevant attributes to shear velocity data. Considering the nonlinear relationship between seismic attributes and shear wave velocity, multi-layer feed forward neural network was used for prediction of shear wave velocity and promising results were presented.

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