Dynamic prediction of gas wells based on feedback artificial neural network

摘要：

　　Sudong gas wells vary hugely in production capacity,and meet extremely complex situation in dynamic changing.In view of Sudong gas wells with such characteristics,dynamic prediction of gas wells based on feedback artificial neural network is helpful to improve the exploitation productivity and management efficiency of the gas wells.In this paper,a prediction system based on feedback artificial neural network is developed,which can be used for analysis of dynamic changes of gas wells,forming gas well geological parameters and prediction model for production decline.The reliability,rationality and practicability of the prediction system are guaranteed through full verification and comparison of the predicted results.

作者: Yilin Duan Jun-bin Chen Yuanjue Li

作者单位: College of Science,Xi an Shiyou University,Shaanxi,Xi an China College of Petroleum Engineering,Xi an Shiyou University,Shaanxi,Xi an China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-7

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）