Abstract
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 language | English (US) |
|---|---|
| Title of host publication | SEG Technical Program Expanded Abstracts 2013 |
| Publisher | Society of Exploration Geophysicists |
| Pages | 4795-4799 |
| Number of pages | 5 |
| ISBN (Print) | 9781629931883 |
| DOIs | |
| State | Published - Aug 19 2013 |
| Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2022-06-28Acknowledgements: 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.