Research The Corrosion Factors Of Oil In Pipeline And Exploitation The Residual Life Prediction Software For Oil Pipeline

Corrosion is a very serious problem in pipeline industry. Because all the oil fields were in remote areas almost, in order to transport this oil a lot of pipeline were built in the world, and this pipeline were buried in the underground on the whole. Not only the outside factors of pipeline but also the corrosion medium in oil could corrode pipeline between it operated. On the one hand, pipeline was damaged would cause huge economic losses and waste of energy; on the other hand it also would cause serious pollution to the environment and even threaten human lives. Analysis the main corrosion factors and predicted residual life of pipeline is the important means of to ensure safe for pipeline. As we know the outside and inside of pipeline can be corrode, unfortunately is so far to analysis the corrosion factors and predicted residual life of pipeline are mainly in the outside of pipeline, actually interior of pipeline also has a very serious corrosion, but for this problem has no one to investigate.In view of this, firstly we researched the corrosion of interior of pipeline by simulated corrosion environment in laboratory conditions; then established a pipeline corrosion rate prediction model and analyzed the main corrosion factors of internal pipeline ; finally taking into account the pipeline internal and external corrosion, a pipeline residual life prediction model was establishment. Through research, we obtained the following results:Measured crude oil pipeline corrosion rate by weight loss experiments. Three different algorithm artificial neural network models (BP, GA and GA-BP) were established, compared the prediction accuracy by the three models we found that the precision was increased with the following order: GA-BP>GA>BP; we cutted down the factors influenced for crude oil corrosion rate, by means of a screening rule of input nodes in artificial neural network; then sensitivity analysis method was used to research factors influenced for crude oil corrosion rate obtained by screening rule, found the main corrosion factors influence to internal pipeline decreased with the following order: Fe content of crude oil> Sulphur content of crude oil> temperature> velocity of flow> Na content of crude oil> viscidity of crude oil> V content of crude oil> Cu content of crude oil> water content of crude oil.At last, we based on the Win32 platform, used visual studio C # integrated development environment exploit a pipeline corrosion prediction expert system, it can predict the residual life of pipeline.