关键词: 储层产能, 双孔结构储层, 测井和地质参数, 神经网络

Abstract: A new method is introduced to predict the productivity of dual pore structure reservoir in carbonate rock profile from log data.First,some parameters to reflect reservoir productivity are extracted in terms of their geology and log characteristics.Considering the nonlinear relation between parameters and production capability and the varying rule of these data,BP artificial neural network is adopted to create the predicting mathematical model.And log data of many wells in LN oilfield are processed.The predicting productivity is rather accordant with the practical situation.All show that the result is better and this method is worth applying widely.

Key words: reservoirs productivity, dual pore reservoir, log and geology parametsrs, artificial neural network