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《Journal of the University of Petroleum,China》 2005-04
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Determining oil boundary of lithologic reservoir by neural network method in Mabei Oilfield

YI Huai-feng~1,CHEN Xin~2,KUANG Li-chun~2,LEI De-wen~2 (1.Institute of Geology and Geophysics in Chinese Academy of Sciences,Beijing 100029,China;2.Research Institute of Exploration and Development,Xinjiang Oilfield Company, Karamay 834000,China)  
Certain borehole data are needed to determine the oil boundary of lithologic reservoir by conventional approaches,which leads to high exploration cost.The neural network method was introduced into this work.First,seismic data are interpreted and seismic characteristic parameters are picked up.Then,study samples of neural network are built by results of seismic interpretation and testing of oil.Finally,a survey line section or ichnograph is mapped out,and the oil boundary is determined.This method has been successfully applied to Wuerhe and Baikouquan reservoirs in Mabei Oilfield,Junggar Basin.The results show that the oil boundary can be determined visually on cross section by neural network method,which can fulfill the requirements of reserve calculation.The new method has more advantages than conventional approaches.
【Fund】: 国家重点科技攻关项目(01-116-12)
【CateGory Index】: P618.13;
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