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    Plane-wave least-squares reverse-time migration

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    Type
    Article
    Authors
    Dai, Wei
    Schuster, Gerard T. cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2013-06-03
    Online Publication Date
    2013-06-03
    Print Publication Date
    2013-07
    Permanent link to this record
    http://hdl.handle.net/10754/562802
    
    Metadata
    Show full item record
    Abstract
    A plane-wave least-squares reverse-time migration (LSRTM) is formulated with a new parameterization, where the migration image of each shot gather is updated separately and an ensemble of prestack images is produced along with common image gathers. The merits of plane-wave prestack LSRTM are the following: (1) plane-wave prestack LSRTM can sometimes offer stable convergence even when the migration velocity has bulk errors of up to 5%; (2) to significantly reduce computation cost, linear phase-shift encoding is applied to hundreds of shot gathers to produce dozens of plane waves. Unlike phase-shift encoding with random time shifts applied to each shot gather, plane-wave encoding can be effectively applied to data with a marine streamer geometry. (3) Plane-wave prestack LSRTM can provide higher-quality images than standard reverse-time migration. Numerical tests on the Marmousi2 model and a marine field data set are performed to illustrate the benefits of plane-wave LSRTM. Empirical results show that LSRTM in the plane-wave domain, compared to standard reversetime migration, produces images efficiently with fewer artifacts and better spatial resolution. Moreover, the prestack image ensemble accommodates more unknowns to makes it more robust than conventional least-squares migration in the presence of migration velocity errors. © 2013 Society of Exploration Geophysicists.
    Citation
    Dai, W., & Schuster, G. T. (2013). Plane-wave least-squares reverse-time migration. GEOPHYSICS, 78(4), S165–S177. doi:10.1190/geo2012-0377.1
    Sponsors
    We thank the sponsors of CSIM consortium (http://csim.kaust.edu.sa) for their financial support. We are also grateful to the supercomputing lab at King Abdullah University of Science and Technology (KAUST) for their computer facilities and technical support. The comments from Tamas Nemeth, John Etgen, and three anonymous reviewers have greatly improved the quality of the paper.
    Publisher
    Society of Exploration Geophysicists
    Journal
    Geophysics
    DOI
    10.1190/GEO2012-0377.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/GEO2012-0377.1
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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