含油集输管道CO_2腐蚀速率预测的研究进展

Progress in Prediction of CO_2 Corrosion Rate Affected by Oil in Gathering Pipelines

在一定条件下,腐蚀介质中含油对集输管道CO2腐蚀行为有一定的缓蚀作用,是否考虑油品的润湿性和腐蚀产物膜,已成为各个不同CO2腐蚀预测模型的最大的差别。介绍了已有的CO2腐蚀速率预测模型及其考虑的因素;在此基础上,从经验模型、半经验模型、机理模型及神经网络模型四个方面系统地总结了近年来考虑含油影响的CO2腐蚀速率预测研究的进展,并提出了现存的一些问题和今后的研究方向。

Under special conditions, oils in corrosion environment have some inhibitive effect on CO2 corrosion behavior of gathering pipelines. Whether or not the oil wetting and corrosion product film are considered becomes a great difference in existing rate prediction models of sweet corrosion. The progress of CO2 corrosion rate prediction models including empirical model, semi-empirical model, mechanistic model and artificial neural network model considering the effects of oil in recent years is introduced in detail, the present problems and further research directions are also discussed.