A fast algorithm for 3D azimuthally anisotropic velocity scan

Handle URI:
http://hdl.handle.net/10754/597263
Title:
A fast algorithm for 3D azimuthally anisotropic velocity scan
Authors:
Hu, Jingwei; Fomel, Sergey; Ying, Lexing
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.
Citation:
Hu J, Fomel S, Ying L (2014) A fast algorithm for 3D azimuthally anisotropic velocity scan. Geophysical Prospecting 63: 368–377. Available: http://dx.doi.org/10.1111/1365-2478.12180.
Publisher:
Wiley-Blackwell
Journal:
Geophysical Prospecting
Issue Date:
11-Nov-2014
DOI:
10.1111/1365-2478.12180
Type:
Article
ISSN:
0016-8025
Sponsors:
The authors would like to thank the associate editor and two anonymous reviewers for their valuable comments and suggestions, Chevron for the field data, and King Abdullah University of Science and Technology and sponsors of the Texas Consortium for Computational Seismology (TCCS) for financial support. 1 The log  function in this paper refers to logarithm to base 2. 2 An octree is a tree data structure in which each internal node has exactly eight children. 3 All the examples will be made reproducible in Madagascar software package (Fomel et al. 2013). 4 Single-core performance on an Apple Macintosh equipped with 2.2-GHz Intel Core i7. Same for other examples.
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Full metadata record

DC FieldValue Language
dc.contributor.authorHu, Jingweien
dc.contributor.authorFomel, Sergeyen
dc.contributor.authorYing, Lexingen
dc.date.accessioned2016-02-25T12:29:19Zen
dc.date.available2016-02-25T12:29:19Zen
dc.date.issued2014-11-11en
dc.identifier.citationHu J, Fomel S, Ying L (2014) A fast algorithm for 3D azimuthally anisotropic velocity scan. Geophysical Prospecting 63: 368–377. Available: http://dx.doi.org/10.1111/1365-2478.12180.en
dc.identifier.issn0016-8025en
dc.identifier.doi10.1111/1365-2478.12180en
dc.identifier.urihttp://hdl.handle.net/10754/597263en
dc.description.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.en
dc.description.sponsorshipThe authors would like to thank the associate editor and two anonymous reviewers for their valuable comments and suggestions, Chevron for the field data, and King Abdullah University of Science and Technology and sponsors of the Texas Consortium for Computational Seismology (TCCS) for financial support. 1 The log  function in this paper refers to logarithm to base 2. 2 An octree is a tree data structure in which each internal node has exactly eight children. 3 All the examples will be made reproducible in Madagascar software package (Fomel et al. 2013). 4 Single-core performance on an Apple Macintosh equipped with 2.2-GHz Intel Core i7. Same for other examples.en
dc.publisherWiley-Blackwellen
dc.subject3Den
dc.subjectAnisotropic parameteren
dc.subjectVelocity analysisen
dc.titleA fast algorithm for 3D azimuthally anisotropic velocity scanen
dc.typeArticleen
dc.identifier.journalGeophysical Prospectingen
dc.contributor.institutionInstitute for Computational Engineering and Sciences and Bureau of Economic Geology; The University of Texas at Austin; Austin TX 78712 USAen
dc.contributor.institutionBureau of Economic Geology and Department of Geological Sciences; Jackson School of Geosciencs, ; The University of Texas at; Austin TX 78713 USAen
dc.contributor.institutionDepartment of Mathematics and Institute for Computational and Mathematical Engineering; Stanford University; Stanford CA 94305 USAen
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