A fast algorithm for 3D azimuthally anisotropic velocity scan

Jingwei Hu, Sergey Fomel, Lexing Ying

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

© 2014 European Association of Geoscientists & Engineers. The conventional velocity scan can be computationally expensive for large-scale seismic data sets, particularly when the presence of anisotropy requires multiparameter scanning. We introduce a fast algorithm for 3D azimuthally anisotropic velocity scan by generalizing the previously proposed 2D butterfly algorithm for hyperbolic Radon transforms. To compute semblance in a two-parameter residual moveout domain, the numerical complexity of our algorithm is roughly O(N3logN) as opposed to O(N5) of the straightforward velocity scan, with N being the representative of the number of points in a particular dimension of either data space or parameter space. Synthetic and field data examples demonstrate the superior efficiency of the proposed algorithm.
Original languageEnglish (US)
Pages (from-to)368-377
Number of pages10
JournalGeophysical Prospecting
Volume63
Issue number2
DOIs
StatePublished - Nov 11 2014
Externally publishedYes

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