摘要
本文将油气田视为一个黑箱非线性动态系统，不需要建立描述油气藏动态的复杂数学模型，只要对其动态系统的输入／输出进行网络训练，即可建立相应的神经网络辨识模型，并用此进行油气田动态预测。
In this paper an oil-gas reservoir is considered to be a black box-like nonlinear dynamic system,so there is no need to build up a complicated mathematical model for describing the dynamic of the oilgas reservoir. The network operation of input/output done in their dynamic system can build up the corresponding nerve-network recognition medel so as to do dynamic predicton for oil-gas reservoirs.
出处
《断块油气田》
CAS
1995年第4期18-21,共4页
Fault-Block Oil & Gas Field
关键词
油气田
动态
预测
神经网络
非线性
系统
辨识方法
Oil and gas fields, Performance prediction, Nerve network, Nonlinear,System identification method
