Dynamic prediction of gas wells based on feedback artificial neural network

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Duan, Yilin^1 ; Chen, Jun-Bin^2 ; Li, Yuanjue^1

College of Science, Xi'an Shiyou University, Shaanxi, Xi'an, China^1

College of Petroleum Engineering, Xi'an Shiyou University, Shaanxi, Xi'an, China^2

关键词: Dynamic changes;    Dynamic prediction;    Geological parameters;    Management efficiency;    Prediction model;    Prediction systems;    Production capacity;    Production declines;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042052/pdf
DOI  :  10.1088/1757-899X/490/4/042052

学科分类：材料科学（综合）

来源: IOP

【 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.