摘要
影响水平井试井曲线形态的因数较多，给识别和求取储层参数带来极大的困难。研究了基于神经网络和系统辨识方法在水平井不稳定试井分析参数识别中的应用；通过神经网络对一含水平井的油气藏系统进行建模和辩识，从新的神经网络模型获得水平井自动参数识别结果；着重讨论了在均质无限大地层条件下的压力不稳定试井的参数识别问题，用实例验证了该方法的特性。
There are many facters influencing the curve shape of horizontal well testing which make it very difficult to discriminate and acquire reservoir parameters.The application of nerve network and system identification method to the parameter discrimination in horizontal well unstable testing analysis is studied.Model construction and identification are made for the oil gas reservoir system with a horizontol well by means of nerve network,and the discrimination result of automatic parameters for the horizontal well is obtained from the new nerve network model.The parameter discrimination of unstable pressure well testing under homogeneous infinite formation conditions is emphatically discussed.This method is proved by case study and satisfied application results are obtained.
出处
《天然气工业》
EI
CAS
CSCD
北大核心
1997年第2期59-62,共4页
Natural Gas Industry
关键词
水平井
试井解释
神经网络
储集层参数
Horizontal well,Well test interpretation,Nerve network,Reservoir parameter,System,Determination,Method,Application.
