Technical Papers
Mar 24, 2022

Effect of Glutaraldehyde as a Biocide against the Microbiologically Influenced Corrosion of X80 Steel Pipeline

Publication: Journal of Pipeline Systems Engineering and Practice
Volume 13, Issue 3

Abstract

Microbiologically influenced corrosion (MIC) is a common phenomenon in oil and gas industries. Sulfate-reducing bacteria (SRB) often leads to MIC and oilfield acidification. Glutaraldehyde is a highly effective biocide, which is used to kill SRB. In this paper, the effect of glutaraldehyde as a biocide against the MIC of X80 steel has been studied by weight-loss tests, electrochemical measurements, and surface analysis techniques. The results show that glutaraldehyde can effectively alleviate the MIC problem caused by SRB. After adding 100 parts per million (ppm) of glutaraldehyde, the number of SRB cells and the corrosion rate of samples decrease significantly. The damage of pitting corrosion caused by SRB on the surface of X80 steel is controlled by glutaraldehyde. Electrochemical measurements corroborate the weight-loss measured data and scanning electron microscopy (SEM) images.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (Nos. 51771213 and 51871228).

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 13Issue 3August 2022

History

Received: Mar 24, 2021
Accepted: Feb 2, 2022
Published online: Mar 24, 2022
Published in print: Aug 1, 2022
Discussion open until: Aug 24, 2022

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Lanxuan Liu [email protected]
Professor, State Key Laboratory of Special Surface Protection Materials and Application Technology, Wuhan Research Institute of Materials Protection, Wuhan 430030, China. Email: [email protected]
Ph.D. Student, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Ph.D. Student, School of Materials Science and Engineering, Univ. of Science and Technology of China, Shenyang 110016, China. Email: [email protected]
Ph.D. Student, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Ph.D. Student, School of Materials Science and Engineering, Univ. of Science and Technology of China, Shenyang 110016, China. Email: [email protected]
Ph.D. Student, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Ph.D. Student, School of Materials Science and Engineering, Univ. of Science and Technology of China, Shenyang 110016, China. ORCID: https://orcid.org/0000-0002-1829-0128. Email: [email protected]
Ph.D. Student, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Ph.D. Student, School of Materials Science and Engineering, Univ. of Science and Technology of China, Shenyang 110016, China. Email: [email protected]
Assistant Professor, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China. Email: [email protected]
Yunlong Bai [email protected]
Assistant Professor, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Liaoning Shenyang Soil and Atmosphere Corrosion of Material National Observation and Research Station, Shenyang 110016, China. Email: [email protected]
Associate Professor, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Liaoning Shenyang Soil and Atmosphere Corrosion of Material National Observation and Research Station, Shenyang 110016, China (corresponding author). Email: [email protected]
Professor, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; Liaoning Shenyang Soil and Atmosphere Corrosion of Material National Observation and Research Station, Shenyang 110016, China. Email: [email protected]

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  • Improving the Accuracy of Electrochemical Experiment Data for Artificial Intelligence–Based Carbon Steel Corrosion Analysis, Journal of Pipeline Systems Engineering and Practice, 10.1061/JPSEA2.PSENG-1629, 15, 3, (2024).

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