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Journal ArticleDOI

An Electrochemical Model for Prediction of Corrosion of Mild Steel in Aqueous Carbon Dioxide Solutions

TLDR
In this paper, a predictive model was developed for uniform carbon dioxide (CO2) corrosion, based on modeling of individual electrochemical reactions in a water-CO2 system, taking into account the reactions of hydrogen ion (H+) reduction, carbonic acid (H2CO3) reduction, direct water reduction, oxygen reduction, and anodic dissolution of iron.
Abstract
A predictive model was developed for uniform carbon dioxide (CO2) corrosion, based on modeling of individual electrochemical reactions in a water-CO2 system. The model takes into account the electrochemical reactions of hydrogen ion (H+) reduction, carbonic acid (H2CO3) reduction, direct water reduction, oxygen reduction, and anodic dissolution of iron. The required electrochemical parameters (e.g., exchange current densities and Tafel slopes) for different reactions were determined from experiments conducted in glass cells. The corrosion process was monitored using polarization resistance, potentiodynamic sweep, electrochemical impedance, and weight-loss measurements. The model was calibrated for two mild steels over a range of parameters: temperature (t) = 20°C to 80°C, pH = 3 to 6, partial pressure of CO2 (PCO2) = 0 bar to 1 bar (0 kPa to 100 kPa), and ω = 0 rpm to 5,000 rpm (vp = 0 m/s to 2.5 m/s). The model was applicable for uniform corrosion with no protective films present. Performance of...

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Citations
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Investigation of Microbiologically Influenced Corrosion (MIC) by Sulfate Reducing Bacteria (SRB) Biofilms and Its Mitigation Using Enhanced Biocides

TL;DR: Wen et al. as discussed by the authors studied the influence of flow effects on Sulfate Reducing Bacteria (SRB) growth in a glass cell bioreactor and derived the correlation between the cylindrical coupon rotation rate in the glass cell and the average flow velocity in the pipeline.
Proceedings ArticleDOI

Machine Learning Based Predictive Models for CO2 Corrosion in Pipelines With Various Bending Angles

TL;DR: The most significant findings are that these two types of machine learning (ML) algorithms have higher efficiency and can predict new results in microseconds in contrast to hours or even days using CFD.
Journal Article

Effects of Temperature on Corrosion Behaviour of X70 Steel in CO2-Containing Formation Water

TL;DR: In this article, the corrosion behavior of X70 pipeline steel in CO2-containing formation water at various temperatures was studied in a high-temperature and high-pressure reactor via weight loss measurements, scanning electron microscope, X-ray diffraction, energy dispersive spectroscopy, and electrochemical methods.
References
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Book

CRC Handbook of Chemistry and Physics

TL;DR: CRC handbook of chemistry and physics, CRC Handbook of Chemistry and Physics, CRC handbook as discussed by the authors, CRC Handbook for Chemistry and Physiology, CRC Handbook for Physics,
Book

Fundamentals of electrochemistry

TL;DR: In this article, a rigorous outline of the basic concepts forming the subject matter of modern theoretical and applied electrochemistry, originally published in Russian in 1988 by Khimiya Press, Moscow.
Journal ArticleDOI

IUPAC Chemical Data Series

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