BP Neural Network Model to Recognize Carbonate Reservoir in Tazhong of Tarim Oilfield
Wen Zhang · Journal of Oil and Gas Technology · 2008
The paper detailedly discusses the algorithm implementation steps of BP neural network..It uses the actual conventional reservoir and imaging well logging data in Tazhong Are.a.It selects their mathematical features and builds the standard samples, uses the BP neural network to recognize them and detailedly analyzes the result.The research result indicates that use of BP neural network model to recognize carbonate reservoir has preferable effect, and it can recognize the cause of fracture and forming periods.