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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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