Application on the Neural Network Model for the Risk Analysis of Longdistance Petroleum Pipelines

The petroleum pipelines in use urgent need to be ascertained the degree of safety. And they need a kind of method to optimize and direct the maintenance. According to the actual risk factors of the Qinhuangdao-Beijing pipeline, the paper offers a neural network model to the risk analysis and the forecast of every segment of long-distance petroleum pipeline, based on BP algorithm. It proves the practicability and reliability of the method by calculating the Qinhuangdao-Beijing oil pipeline.