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《Progress in Geophysics》 2009-01
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Application of the rough set theory to seismic reservoir predication

GU Fa-ming1,YIN Cheng1*,DING Feng1,SONG Liang2(1.Resources and Environment Department,SouthWest Petroleum University,Chengdu Sichuan 610500,China;2.CNOOC Research Center,Beijing 100027,China)  
In the study of seismic reservoir predication,lots of seismic attributes are utilizable,but too many attributes could affect the accuracy of reservoir predication.So,for the sake of improving the accuracy of seismic reservoir predication,this stady utilizes the rough set theory to extract useful attributes and simplify information processing,to sort out significative attributes from seismic attributes.We use a self-organized neural network quantization method that is dependent on the variance of seismic attributes,and optimize seismic attributes by the discernibility matrix attributes frequency reduction algorithm.The example indicates:that this method is very effective,and can delete utmostly redundant seismic attributes.The multiple reservoir parameters are well predicated by significative attributes is very good.
【Fund】: 目国家高技术研究发展计划(863计划)(2006AA09A102-14);; 中国石油天然气集团公司应用基础研究项目(06A100102)联合资助
【CateGory Index】: P631.4
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