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《Journal of Yanshan University》 2013-03
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Reservoir prediction based on correlation principal component analysis with seismic attributes

JING Xi-li,WANG Ming-li(College of Sciences,Yanshan University,Qinhuangdao,Hebei 066004,China)  
The relation between seismic attributes and predicted object is not considered in extracting principal components by seismic attribute principal component analysis,so an improved principal component is proposed.It demand the principal components must represent the structure of data space and keep max correlation between seismic attributes and predicted object,the relation is gotten by optimized algorithm.The numbers of seismic attribute principal compents is gotten from Kanal rule.This method can eliminate the noise and get correct relation between seismic attributes and predicted objects.The computation is made on theory data and practical data,the result shows this method is better than seismic attribute principal component alalysis.
【Fund】: 国家自然科学基金资助项目(41174116);; 河北省自然科学基金资助项目(D2010001150)
【CateGory Index】: P631.4;P618.13
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