Abstract：Starting from 2-D Darcy production rate formula,the paper studied theoretic expression in production capacity of reservoir and analyzed two categories of major effecting factor (artificial factors and reservoir factors).It can consider that in a precondition of that artificial factors such as every operation way are roughly the same in production region,the production capacity of reservoir mainly depends on characters of reservoir. The paper built up the relation between production capacity of reservoir and log data on that basis and adopted artificial neural networks technique in building up predicting system for production capacity of reservoir. Adopting five appraisal parameters(effective porosity,permeability,oil saturation,shale conten and production capacity factor)as a input knot,the system predicted the results presented dinamic character of reservoir through ANN model.The method was used to predict oil-gas production capacity of Keshang Formation reservoir in eighth block of Kelamayi oil-field of Xinjiang autonomous region and good results were obtained,it further proved the effectiveness of the method.
谭成仟, 吴向红, 宋子齐. 利用测井资料预测克拉玛依油田八区克上组油层产能[J]. 石油地球物理勘探, 2001, 36(3): 285-290.
Tan Chengqian, Wu Xianghong, Song Ziqi. Using log data for predicting oil-gas production capacity of Keshang Formation reservoir in eig hth block,Kelamavi oilfield. OGP, 2001, 36(3): 285-290.
