APPLICATION OF KOHONEN NETWORK TO THE LATERAL PREDICTION OF KARST FRACTURE ZONE IN ORDOVICIAN LIMESTONE

Self-organization Kohonen network is a fast learning neural network used to deal with problems of classification,clustering,interpretation and so on.This paper derived five parameters such as maximum crosscorrelation coefficient,fractal associative dimension in time domain,and dominant frequency,bandwidth and dominant energy in frequency domain according to the seismic kinematics and dynamic characteristics of Ordovician limestone.It made use of the self-organization Kohonen artificial neural network to predicate laterally the aqueous fractured zone.Experiments on real seismic data have showed that the technique was feasible.It cad become an effective method to predicate the karst fractured zone in Ordovician limestone.