Abstract:

Depth delay artificial neural network model is put up to calculate the parameters and the flooded degree of flooded reservoir.This method could avoid the problem of calculating the resistivity of mixed liquid after flooding,and the non linear relation between one depth point geo parameter and the log data of the present depth point and more depth points of the upper and lower beds is more accurate.To use this model,one have to select suitable sample assemblage to traim the network first,then the interpretation model is built.Use this model to process the log data obtained from twenty wells of the lower section of Sha 2 member in Pucheng Oilfield,Dongpu Depression,the pesult is good,the coincidence rate is up to 82.4%.

Key words: artificial neural network, depth delay, log data, remaining oil sauration, flooded degree