Prediction of the Oil Increment Of Fractured Wells By Genetic Neural Network
Hydraulic fracturing is an effective way of increasing oil well production.In this paper, the factors affecting the performance of fractured wells were analyzed.A technique based on genetic algorithm (GA) and artificial neural network (ANN) was proposed to predict the oil increment of the fractured well.The genetic algorithm was integrated with the back-propagation algorithm to optimize the weights of neural network.The training result indicated that this model can solve the problem successively with high precision.
fracturing neural network genetic algorithm influence factors
Shan Xian
School of Petroleum Engineering, China University of Petroleum, Dong Ying
国内会议
芜湖
英文
270-273
2010-05-21（万方平台首次上网日期，不代表论文的发表时间）