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The Method of the Least Reduction in Oil Reservoir Based on Rough Set Particle Swarm


Article Information

Title: The Method of the Least Reduction in Oil Reservoir Based on Rough Set Particle Swarm

Authors: Hongjie Liu, Boqin Feng, Jianjie Wei

Journal: Information Technology Journal

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Publisher: Asian Network for Scientific Information (ANSInet)

Country: Pakistan

Year: 2007

Volume: 6

Issue: 6

Language: English

DOI: 10.3923/itj.2007.865.871

Keywords: FitnessDependencyPSORough setAttribute Reductionoil reservoir prediction

Categories

Abstract

In the oil reservoir prediction, it is not that the more index variables of seismic data, the better effect of classification is. On the contrary, the classification accuracy will reduce because of the redundant index variable influenced by the calculation error. Therefor, a method of the least reduction of oil reservoir data is presented in this study. In this method, we directly adopt the dependency of rough set and PSO algorithm by binary encoding, which make the two algorithm organic affiliated. The actual application on the data of oil reservoir not only shows that using this method presented in this paper achieves very notable effect, but also shows that this method has great actual meaning to further construct higher efficient attribute reduction method.


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