The Interpolation of Sparse Geophysical Data
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DOI: 10.1007/s10712-018-9501-3
Abstract: Geophysical data interpolation has attracted much attention in the past decades. While a variety of methods are well established for either regularly sampled or irregularly sampled multi-channel data, an effective method for interpolating extremely sparse… read more here.
Keywords: sparse geophysical; geophysical data; interpolation; data interpolation ... See more keywords
Normalized shaping regularization for robust separation of blended data
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DOI: 10.1190/geo2018-0557.1
Abstract: Simultaneous source acquisition has attracted more and more attention from geophysicists because of its cost savings, whereas it also brings some challenges that have never been addressed before. Deblending of simultaneous source data is usually… read more here.
Keywords: blended data; abnormal noise; normalized shaping; regularization ... See more keywords
Least-squares diffraction imaging using shaping regularization by anisotropic smoothing
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DOI: 10.1190/geo2019-0741.1
Abstract: We have used least-squares migration to emphasize edge diffractions. The inverted forward-modeling operator is the chain of three operators: Kirchhoff modeling, azimuthal plane-wave destruction, and the path-summation integral filter. Azimuthal plane-wave destruction removes reflected energy… read more here.
Keywords: least squares; edge; diffraction; anisotropic smoothing ... See more keywords