A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines

Abstract

Microbiologically influenced corrosion (MIC) is one of the critical integrity threats in marine and offshore industrial sectors. Thus, MIC should be considered for effective risk-based decision-making and asset integrity management of systems. The experience with accidents in this domain indicates that many corroded subsea pipelines involve a complex failure mode with MIC implications. Researchers have actively studied the MIC characteristics, mechanisms, modeling, and management since the last decades. However, despite MIC importance and practical implications for a better understanding of decision-makers, there is a lack of reliable knowledge of risk-based decision-making models for MIC in marine and offshore sectors. The current work aims to present a systematic attempt to identify the gaps, needs, and challenges of MIC in risk-based decision-making models. Therefore, an analysis of the arts in different database core collections is conducted. The analysis is focused on MIC characteristics, mechanisms, modeling, and management. It integrates the empirical and theoretical conclusions, highlighting the capabilities and drawbacks of existing literature and explaining the further research tasks’ opportunities.