Application of deep learning for division of petroleum reservoirs

摘要：

　　Traditional methods of dividing petroleum reservoirs are inefficient,and the accuracy of one-hidden-layer BP neural network is not ideal when applied to dividing reservoirs.This paper proposes to use the deep learning models to solve the reservoir division problem.We apply multiple-hidden-layer BP neural network and convolutional neural network models,and adjust the network structures according to the characteristics of the reservoir problem.The results show that the deep learning models are better than one-hidden-layer BP neural network,and the performance of the convolutional neural network is very close to the artificial work.

作者: Yaqiong Qin Zhaohui Ye Conghui Zhang

作者单位: Department of Automation,Tsinghua University,Beijing 100084,China China Oilfield Services Limited,Sanhe,Hebei 065201,China

会议类型: 国际会议

会议名称: 2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）