THE PARAMETER OPTIMIZATION OF THE RESERVOIR PREDICTION WITH SEISMIC MULTI-PARAMETERS USING THE NEURAL NETWORKS

It is not always beneficial to use the much more seismic attribute parameters in reservoir prediction.The optimal dimension of the seismic attributes depends upon the effect of reservoir prediction.In this paper,we choose seismic characteristic parameters by the clustering method and by using the optimal attribute parameters,which are of large Euclidean distance and low similarity coefficients to predict reservoir and hydrocarbon,an effective improving in the results is obtained in the practice.