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    Oriented prestack time migration using local slopes and predictive painting in the common-source domain for planar reflectors

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    Authors
    Khoshnavaz, Mohammad Javad
    Bóna, Andrej
    Dzunic, Aleksandar
    Ung, K.
    Urosevic, Milovan
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Khoshnavaz, M. and Bóna, A. and Dzunic, A. and Ung, K. and Urosevic, M. 2016. Oriented prestack time migration using local slopes and predictive painting in the common-source domain for planar reflectors. Geophysics. 81 (6): pp. S409-S418.
    Source Title
    Geophysics
    DOI
    10.1190/GEO2016-0127.1
    ISSN
    0016-8033
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/34236
    Collection
    • Curtin Research Publications
    Abstract

    Seismic imaging techniques often require an input velocity model. Velocity analysis is one of the most critical stages in seismic data processing. Standard ways to find the velocity model from seismic data in the time domain are constant velocity stack and semblance velocity analysis that may be time consuming and labor intensive. Oriented/velocity-less imaging using local event slopes is an alternative to the conventional imaging techniques. In some previous oriented techniques, seismic data must be sorted in two different domains, whereas seismic data are not always available in both domains and the use of interpolation is inevitable in such cases. Other methods are developed in terms of the higher order derivatives of traveltime with respect to offset, whereas estimation of the higher order derivatives is difficult to achieve with the required accuracy. We addressed the limitations by developing an oriented local slope based prestack time migration technique in only one domain: the common-source domain. The migration technique is developed for reflectors with small curvature. In the proposed approach, the need for the estimation of higher order derivatives is replaced by a point-to-point mapping of seismic data using the predictive painting technique. The theoretical contents of the proposed technique are tested on a simple synthetic data example and applied to a field data set.

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