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《Progress in Geophysics》 2007-02
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Estimation of reservoir distribution parameters using higher-order neural network spproach

ZHENG Qing-sheng,HAN Da-Kuang(Research Institute of Petroleum Exploration And Development of CNPC,Beijing 100083,China)  
This paper presents the methods of higher-order neural network on the application of reservoir distribution parameters,and gives an example on predicting sand porosity and top depth of ShuangHe field Ⅳ4(5-9)oilgroup,and point out some existent problems and opinions to be improved on predicting reservoir distribution parameters,and discusses some advantages and disadvantages when to apply in predicting reservoir distribution parameters.
【Fund】: 国家科技973项目(2005C13422104)资助
【CateGory Index】: P618.13
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