A comprehensive review on corrosion management in oil and gas pipeline: methods and technologies for corrosion prevention, inspection and monitoring

腐蚀 防腐 管道(软件) 诚信管理 石油工程 腐蚀监测 环境科学 工程类 法律工程学 计算机科学 材料科学 冶金 机械工程
作者
Bhumiben Ankit Shah,Asan G. A. Muthalif
出处
期刊:Anti-corrosion Methods and Materials [Emerald Publishing Limited]
标识
DOI:10.1108/acmm-09-2024-3085
摘要

Purpose The pipeline infrastructure serves as a foundation for effective fluid transportation in the energy sector. Pipelines are designed to withstand various environmental conditions and critical situations to ensure safe and reliable operation. Despite the utilization of anti-corrosion material, corrosion remains unavoidable within the pipelines. This presents substantial challenges for the oil and gas industries, which may lead to economic losses, human harm and adverse environmental impacts. The purpose of this study is to comprehensively review and summarize current technologies and methodologies for the prevention, monitoring, and inspection of corrosion in oil and gas pipelines. Design/methodology/approach Implementing effective corrosion prevention methods, early detection strategies and accurate diagnosis techniques is essential to mitigate the extent of the damage. Early detection can be achieved through various inspection and monitoring technologies. Findings The paper identifies corrosion as an unavoidable issue in oil and gas pipelines. The paper reviews various inspection and monitoring technologies for the early detection of corrosion. The paper discusses the different sensors used in this context. Sensor detection technologies are also explored to identify the type, severity and corrosion rate. Originality/value This paper offers a comprehensive review of corrosion management methodologies and technologies specifically for oil and gas pipelines. It consolidates current practices and innovations in corrosion prevention, detection and monitoring. Furthermore, it details and evaluates the type of sensors used for corrosion management and an AI-driven approach for detecting and addressing corrosion-related issues.

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