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    3D plane-wave least-squares Kirchhoff migration

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    segam2014-13622E1.pdf
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    Description:
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    Type
    Article
    Authors
    Wang, Xin
    Dai, Wei
    Huang, Yunsong cc
    Schuster, Gerard T. cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-08-05
    Online Publication Date
    2014-08-05
    Print Publication Date
    2014-08-05
    Permanent link to this record
    http://hdl.handle.net/10754/593372
    
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    Abstract
    A three dimensional least-squares Kirchhoff migration (LSM) is developed in the prestack plane-wave domain to increase the quality of migration images and the computational efficiency. Due to the limitation of current 3D marine acquisition geometries, a cylindrical-wave encoding is adopted for the narrow azimuth streamer data. To account for the mispositioning of reflectors due to errors in the velocity model, a regularized LSM is devised so that each plane-wave or cylindrical-wave gather gives rise to an individual migration image, and a regularization term is included to encourage the similarities between the migration images of similar encoding schemes. Both synthetic and field results show that: 1) plane-wave or cylindrical-wave encoding LSM can achieve both computational and IO saving, compared to shot-domain LSM, however, plane-wave LSM is still about 5 times more expensive than plane-wave migration; 2) the regularized LSM is more robust compared to LSM with one reflectivity model common for all the plane-wave or cylindrical-wave gathers.
    Citation
    Xin Wang, Wei Dai, Yunsong Huang, and Gerard T. Schuster (2014) 3D plane-wave least-squares Kirchhoff migration. SEG Technical Program Expanded Abstracts 2014: pp. 3974-3979. doi: 10.1190/segam2014-1362.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2014
    DOI
    10.1190/segam2014-1362.1
    Additional Links
    http://library.seg.org/doi/abs/10.1190/segam2014-1362.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2014-1362.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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