Abstract

AbstractIn this work, a mechanistic model was developed to predict the corrosion rate of steel tubing under carbon storage conditions. The model integrates a number of sub‐models that quantify contributions of interrelated steps to the corrosion process. The water chemistry sub‐model determines the solution pH and the concentrations of species. The electrochemical corrosion sub‐model assesses both charge‐transfer and mass‐transfer steps and their effects on corrosion. The scale formation and its role in corrosion are considered. The finite difference method is used to solve numerical equations, and a MetLab program was written for computation of the corrosion rate. The modeling results are validated by both laboratory testing and literature data. The parametric effects, including temperature, CO2 partial pressure, solution salinity, pH, time, etc., on corrosion are predicted. The limitations of the model are also discussed. © 2016 Society of Chemical Industry and John Wiley & Sons, Ltd

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