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    An application of sparse inversion on the calculation of the inverse data space of geophysical data

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    Type
    Conference Paper
    Authors
    Saragiotis, Christos
    Doulgeris, Panagiotis C.
    Verschuur, Eric
    KAUST Department
    Physical Science and Engineering (PSE) Division
    Date
    2011-07
    Permanent link to this record
    http://hdl.handle.net/10754/564399
    
    Metadata
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    Abstract
    Multiple reflections as observed in seismic reflection measurements often hide arrivals from the deeper target reflectors and need to be removed. The inverse data space provides a natural separation of primaries and surface-related multiples, as the surface multiples map onto the area around the origin while the primaries map elsewhere. However, the calculation of the inverse data is far from trivial as theory requires infinite time and offset recording. Furthermore regularization issues arise during inversion. We perform the inversion by minimizing the least-squares norm of the misfit function and by constraining the 1 norm of the solution, being the inverse data space. In this way a sparse inversion approach is obtained. We show results on field data with an application to surface multiple removal. © 2011 IEEE.
    Citation
    Saragiotis, C., Doulgeris, P., & Verschuur, E. (2011). An application of sparse inversion on the calculation of the inverse data space of geophysical data. 2011 17th International Conference on Digital Signal Processing (DSP). doi:10.1109/icdsp.2011.6004886
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 17th International Conference on Digital Signal Processing (DSP)
    Conference/Event name
    17th International Conference on Digital Signal Processing, DSP 2011
    ISBN
    9781457702747
    DOI
    10.1109/ICDSP.2011.6004886
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICDSP.2011.6004886
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division

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