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Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 14 | Page No.: 2326-2333
DOI: 10.3923/itj.2014.2326.2333
 
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Seismic Attribute Reduction Method and its Application
Liu Hongjie, Lou Bing, Liu Taoping, Luo Yong and Wang Chunhe

Abstract:
In oil-gas prediction, the effects wouldn't get better if more seismic attributes were used. Due to calculation errors, the redundant seismic attributes get lower forecast accuracy instead. In this study, we studied the rough polarization matrix seismic attribute reduction, the principal component seismic attributes reduction and covering rough set seismic attributes reduction. By comparing these methods, the study further illustrated their different applicable conditions, results, advantages and defects. Simulation tests and actual applications proved that seismic attributions reduction can not only reduce multiple solutions but also improve the accuracy of oil-gas prediction and the speed of processing, its effect is remarkable in oil-gas prediction. Being faster speed of the principal component seismic attributes reduction and higher precision of the covering rough set seismic attribute reduction, both of them have been widely applied to oil-gas prediction.
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How to cite this article:

Liu Hongjie, Lou Bing, Liu Taoping, Luo Yong and Wang Chunhe, 2014. Seismic Attribute Reduction Method and its Application. Information Technology Journal, 13: 2326-2333.

DOI: 10.3923/itj.2014.2326.2333

URL: https://scialert.net/abstract/?doi=itj.2014.2326.2333

 
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