A prediction method of waterflood recovery factor based on microscopic pore structure parameters

Microscopic pore structure parameters are important factors influencing water flooding response,and are in non-linear,uncertain,complex relationship with the latter.Parameters having big influence on waterflood recovery factor have been optimized through correlation analysis.Waterflood recovery factor is predicted by using multiple regression analysis and BP neural network respectively.The result indicates that the artificial neural network method is more adaptable,can better reflect the intrinsic relationship between various microscopic parameters and waterflood recovery factor,and has high prediction accuracy.BP neural network method is feasible and effective for predicting waterflood recovery factor.