Relative time seislet transform

Author:

Geng Zhicheng1ORCID,Wu Xinming1ORCID,Fomel Sergey1ORCID,Chen Yangkang2ORCID

Affiliation:

1. The University of Texas at Austin, Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, University Station, Box X, Austin, Texas, USA..

2. Zhejiang University, School of Earth Sciences, Hangzhou, China.(corresponding author).

Abstract

The seislet transform uses the wavelet-lifting scheme and local slopes to analyze the seismic data. In its definition, the designing of prediction operators specifically for seismic images and data is an important issue. We have developed a new formulation of the seislet transform based on the relative time (RT) attribute. This method uses the RT volume to construct multiscale prediction operators. With the new prediction operators, the seislet transform gets accelerated because distant traces get predicted directly. We apply our method to synthetic and real data to demonstrate that the new approach reduces computational cost and obtains excellent sparse representation on test data sets.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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