Based on RBF neural network modeling of well test system

被引：0
|
作者：
Tian, Jia [1 ]
机构：
[1] Jilin Teachers Inst Engn & Technol, Coll Elect Engn, Changchun 130052, Peoples R China
来源：
Energy Engineering and Environment Engineering | 2014年 / 535卷
关键词：
RBF Neural Network; MATLAB; test well systems;
D O I：
10.4028/www.scientific.net/AMM.535.606
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The Neural Network Toolbox in MATLAB is a powerful instrument of analyzing and designing a neural network system. RBF Neural Network has small computational burden and fast learning rate and is not liable to be trapped by local minimal points etc. So it is an effective means to identify and model a system. In this paper, the Neural Network Toolbox in MATLAB and RBF Neural Network are combined to solve the problem of modeling the pressure in oilfield test well systems and the result is excellent.
引用
收藏
页码：606 / 609
页数：4
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