Abstract:

Although a lot of developments have been gained on the reservoir parameters inversion with the artificial neural Networks(ANN),but the problem of the finite training data has been exist for a long time,and ANN is difficult to handle fuzzy expert knowledge.In order to make full use of expert knowledge,a nonlinear intelligent inversion approach based on neural networks driven fuzzy reasoning(NNFR)system is presented in this paper to achieve the ability of self learning,self adapation and fuzzy information input.With some practical application of proposed methods,much better results of reservoir parameter inversion from analysis data are obtained.

Key words: reservoir parameter, neural networks, fuzzy logic, inversion prediction, application