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.