Abstract: 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.

Key words: Well Testing analysis, Parameter recognition, System identification, Artificial neural network Numerical Simulation on