Corrosion Detection Techniques for Asset Integrity and Maintenance in the Oil and Gas Industry: A Review

Abstract

Corrosion detection is essential for maintaining infrastructure safety, reliability, and longevity, particularly in industries such as oil and gas, where harsh environmental conditions accelerate material degradation. Corrosion in this industry affects the structural integrity of pipelines and increases life cycle costs. Carbon steel, a commonly used material, is highly susceptible to corrosion due to extreme operational conditions like high pressure, temperature fluctuations, and exposure to corrosive elements such as CO₂, H₂S, and chlorides. The extensive network of pipelines and remote locations make real-time corrosion detection challenging, as traditional inspection methods often prove insufficient, particularly for internal monitoring. Deep gas wells add another layer of difficulty, requiring reliable wireless communication for data acquisition. However, challenges persist in effectively detecting corrosion, especially in large, complex systems such as pipelines and offshore rigs, where traditional methods may not be sufficient. Additionally, advanced monitoring techniques using artificial intelligence (AI), and machine learning (ML), based solutions offer promising advancements, but they introduce new challenges related to cybersecurity, data management, and the need for specialized personnel. This review paper explores the different types of corrosion, detection techniques, their respective limitations, and the potential solutions to address these issues to ensure the long-term sustainability of the oil and gas industry.