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Low-rank one-step wave extrapolation for reverse time migration
Author(s) -
Junzhe Sun,
Sergey Fomel,
Lexing Ying
Publication year - 2015
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/geo2015-0183.1
Subject(s) - extrapolation , seismic migration , wavenumber , wave propagation , rank (graph theory) , boundary (topology) , stability (learning theory) , mathematical analysis , algorithm , mathematics , computer science , optics , physics , geophysics , machine learning , combinatorics
Reverse time migration (RTM) relies on accurate wave extrapolation engines to image complex subsurface structures. To construct such operators with high efficiency and numerical stability, we have developed a one-step wave extrapolation approach using complex-valued low-rank decomposition to approximate the mixed-domain space-wavenumber wave extrapolation symbol. The low-rank one-step method involves a complex-valued phase function, which is more flexible than a real-valued phase function of two-step schemes, and thus it is capable of modeling a wider variety of dispersion relations. Two novel designs of the phase function leads to the desired properties in wave extrapolation. First, for wave propagation in inhomogeneous media, including a velocity gradient term assures a more accurate phase behavior, particularly when the velocity variations are large. Second, an absorbing boundary condition, which is propagation-direction-dependent, can be incorporated into the phase function as an anisotropic a...

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