Productivity Prediction of Tight Sandstone Reservoir Based on BP Neural Network

Yulei WANG


To survey He-8 member tight sand reservoir with low porosity and permeability in Mizhi gas field in Ordos basin, using the conventional well log data, this paper proposes the tight sand reservoir productivity prediction model and classification criterion based on BP neural network, getting quick classification of gas well productivity. We can predict sand reserve quantitatively instead qualitatively with the methods.Applications show that the methods of productivity prediction are effective and practical.


Productivity prediction; Low porosity; Low permeability; Tight sandstone; Neural network

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