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Relative time seislet transform

delete2020-03-01
delete19
PRE
AI
Z
Zhicheng Geng
X
Xinming Wu
S
Sergey Fomel
Y
Yangkang Chen *
DOI:10.1190/GEO2019-0212.1delete
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Abstract

Abstract

En 中文
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.
Keywords:
DATA INTERPOLATION
HORIZON
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Geophysics cover
Geophysics
IF:
3.2
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U
university of texas austin
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university of texas system
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