返回届次CSCP-ICC-2024-051

Corrosion challenges in CO2 capture and storage applications under the influence of impurities

作者

Kapil Kumar GuptaSuraj SinghSajjad BahrebarAvinash IngleAndreas ChristensenRajan Ambat

单位

1Department of Civil and Mechanical Engineering、Technical University of Denmark、Denmark 2IKM Ocean Team A/S、6700 Esbjerg

关键词

CCSimpuritiescorrosionprediction model

收录来源

International Corrosion Congress · 第22届国际腐蚀大会

摘要

Carbon Capture and Storage (CCS) technology plays a pivotal role in mitigating climate change by reducing CO 2 emissions. The process, however, is complicated by phase changes in CO 2 due to temperature and pressure variations, and the presence of impurities such as water, H2S, SOx, and NOx, which can decrease water solubility and lead to water dropout at lower pH levels, thereby increasing corrosivity [1]. Additionally, impurities like oxygen may initiate further cathodic reduction processes that increase the risk of localized corrosion [2]. Traditional methods for predicting and studying corrosion have been an area of focus, however, they often fall short in addressing the complex, multifaceted nature of corros ion processes under varying environmental conditions. The objective of this research is to delineate the impact of impurities on the corrosion rates and mechanisms in different materials, including low-alloy steels, 13% Cr steels, and high -alloy grade mate rials. These materials were subjected to supercritical impure CO2 stream as well as electrochemical exposure in a brine solution continuously infused with CO2 along with impurities. Corrosion rates were determined through electrochemical methods such as polarization resistance and electrochemical impedance, alongside weight loss measurements. Surface analyses of corroded samples were performed using scanning electron microscopy and X -ray diffraction. The extensive data collected were utilized to develop empirical predictive models that estimate the influence of critical variables on corrosion rates and predict corrosion rate.

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