A fast algorithm for 3D azimuthally anisotropic velocity scan

Jingwei Hu, Sergey Fomel, Lexing Ying

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Conventional velocity scan can be computationally expensive for large-size seismic data, particularly when the presence of anisotropy requires multiparameter estimation. We introduce a fast algorithm for 3D azimuthally anisotropic velocity scan, which is a generalization of the previously proposed 2D butterfly algorithm for hyperbolic Radon transform. To compute the semblance in a two-parameter residual moveout domain, the numerical complexity of our algorithm is roughly O(N3 log N) as opposed to O(N5) of the straightforward velocity scan, with N being representative of the number of points in either dimension of data space or parameter space. We provide both synthetic and field-data examples to illustrate the efficiency and accuracy of the algorithm.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2013
PublisherSociety of Exploration Geophysicists
Number of pages5
ISBN (Print)9781629931883
StatePublished - Aug 19 2013
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-28
Acknowledgements: We thank Chevron for providing the field data. We thank KAUST and sponsors of the Texas Consortium for Computational Seismology (TCCS) for financial support.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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