UTILIZE BP NERVE NETWORK TO PREDICT SULFIDE STRESS CORROSION IN HIGH SOUR OIL WELL

The BP nerve network technique has the following characteristics:the astringency is strong, the capability of self-adaptation and self-learning is strong, the error tolerance ability is better, the parallel processing capability is strong, identification and prediction is rapid and accurate and so on. This paper takes the actual sulfide stress corrosion rate (water cut is 2.4%~19.0% for the high sour oil well) as the training samples, uses the BP nerve network to train. When the precision requirements is achieved, the original samples are judged and simulated, and then prediction is conducted for the samples for which the input data are known but the output data are unknown. The results indicate that the BP nerve network technique can correctly predict the sulfide stress corrosion in the high sour oil wells, and the precision is higher than that of GM. The predicted result can be used to direct the development of the oilfields.