A Stochastic Prediction Model of Localized CO2 Corrosion

In this paper a two-dimensional (2-D) stochastic localized CO2 corrosion model is proposed, which describes the balance of two processes: corrosion (leading to metal loss) and precipitation (leading to metal protection). The model is able to predict localized corrosion of carbon steel in CO2 containing environments. The model uses corrosion rate and surface-scaling tendency predicted by a 1-D mechanistic corrosion model as the inputs. It can predict the possibility of localized corrosion as a function of primitive parameters such as temperature, pH, partial pressure of CO2, velocity, etc. The maximum pit penetration rate as well as the uniform corrosion rate can be predicted and used to describe the severity of the localized attack.