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A fast algorithm for 3D azimuthally anisotropic velocity scan
- Source: Geophysical Prospecting, Volume 63, Issue 2, Feb 2015, p. 368 - 377
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- 01 Nov 2013
- 01 Jun 2014
- 11 Nov 2014
Abstract
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 as opposed to 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.