In this study, the corrosion of carbon steel immersed in CO₂ saturated aqueous solutions, in the presence and absence of sand deposits, were investigated by electrochemical noise measurement and recurrence quantification analysis. Uniform corrosion occurred at samples without sand deposit while localized corrosion took place at the sand-covered steel samples. These two different corrosion types can be accurately predicted by random forest and principal component models based on recurrence quantification analysis of either electrochemical potential or current noise data regardless of threshold values. The study provides a potential automated online corrosion monitoring scheme to ensure the integrity of pipelines.

在这项研究中，通过电化学噪声测量和递归定量分析研究了浸入和浸出CO _2的水溶液中碳钢的腐蚀情况，无论有无沙沉积物。在没有沙子沉积的样品上发生了均匀腐蚀，而在被沙子覆盖的钢样品上发生了局部腐蚀。这两种不同的腐蚀类型可以通过随机森林和主成分模型基于电化学势或电流噪声数据的重复定量分析而准确地预测，而与阈值无关。该研究提供了一种潜在的自动化在线腐蚀监测方案，以确保管道的完整性。