不稳定试井分析中参数识别的神经网络方法

On the Neural Network Method of the Parameter Identification in Transient Well Testing

胡泽

HU Ze

西南石油学院石油工程系,四川南充637001

Dept. of Petroleum Engineering, SWPI, Sichuan 637001

In the well transient testion, it costs a lot of time for people to adjust well testion parameters. Especially, it is much more difficult when many parameters need to be adjusted. Sometimes, people can not get a reasonable results. So,it is imperative to study some new parameter identification methods. Up to mow, the automatic matching method of type curves has been studied by many researchers. But it is difficult to be used widely because of the limit of numerical calculation method. In this paper, system identification method based on neural network in parameter identification of transient testing is presented. After a practice oil or gas reservoir is modeled and identified by a neural network, the results of parameter identification are obtained by the new neural network model. The problem of parameter identification in transient testing of single porous and doube porous reservoirs are studied especially. One example illustrated the performance of the identification algorithm.

10.3863/j.issn.1000-2634.1997.04.011