Research and Application of Refinery Plant Equipment Corrosion Rate Prediction Algorithm
As a variety of high quality crude oil refining ratio acid value and high sulfur content increased, the corrosion of refinery plant equipment is more serious than before. Analyzes the corrosion data by gray theory, and proposes the predicted algorithm. Establishes a gray predic-tion model, improves the model to increase the accuracy of prediction. Implements the algorithm and applies it in the refinery plant e-quipment corrosion comprehensive analysis system. Application shows that the trend of corrosion is efficiently analyzed by the algorithm, and it can help to make a reasonable plan of maintenance and guarantee the safe operation of the equipment.
NETL
NSTL
万方数据
维普
