Over the past decade, the knowledge related to predicting internal pipeline corrosion for sweet and particularly sour environments has dramatically improved. Advancement in understanding of the corrosion mechanisms related to H2S corrosion environments enabled the development of an integrated electrochemical model for CO2/H2S uniform corrosion, including the effect of H2S on the protective corrosion product formation on mild steel. The latest model of uniform CO2/H2S corrosion of carbon steel accounts for the key processes underlying of corrosion: chemical reactions in the bulk solution, electrochemical reactions at the steel surface, the mass transport between the bulk solution to the steel surface, and the corrosion product formation and growth (iron carbonate and iron sulfide). The model is able to predict the corrosion rate, as well as the surface water chemistry, as related to all of the key species involved. The model has been successfully calibrated against experimental data in conditions where corrosion product layers do not form and in environments where they do, and compared to other similar models.
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1 May 2016
Research Article|
January 21 2016
Advancement in Predictive Modeling of Mild Steel Corrosion in CO2- and H2S-Containing Environments
Yougui Zheng;
Yougui Zheng
*Institute for Corrosion and Multiphase Technology, Department of Chemical and Biomolecular Engineering, Ohio University, 342 W. State St., Athens, OH 45701.
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Jing Ning;
Jing Ning
*Institute for Corrosion and Multiphase Technology, Department of Chemical and Biomolecular Engineering, Ohio University, 342 W. State St., Athens, OH 45701.
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Bruce Brown;
Bruce Brown
*Institute for Corrosion and Multiphase Technology, Department of Chemical and Biomolecular Engineering, Ohio University, 342 W. State St., Athens, OH 45701.
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Srdjan Nešić
Srdjan Nešić
‡
*Institute for Corrosion and Multiphase Technology, Department of Chemical and Biomolecular Engineering, Ohio University, 342 W. State St., Athens, OH 45701.
‡Corresponding author. E-mail: [email protected].
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‡Corresponding author. E-mail: [email protected].
Received:
February 10 2015
Revision Received:
January 20 2016
Accepted:
January 20 2016
Online ISSN: 1938-159X
Print ISSN: 0010-9312
© 2016, NACE International
2016
CORROSION (2016) 72 (5): 679–691.
Article history
Received:
February 10 2015
Revision Received:
January 20 2016
Accepted:
January 20 2016
Citation
Yougui Zheng, Jing Ning, Bruce Brown, Srdjan Nešić; Advancement in Predictive Modeling of Mild Steel Corrosion in CO2- and H2S-Containing Environments. CORROSION 1 May 2016; 72 (5): 679–691. https://doi.org/10.5006/1667
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