Risk analysis of remote subsea operations: A systematic literature review

Remote subsea operations of oil and gas installations could be a complex undertaking related to the inherent risk in the operating processes. This systematic literature review consolidates current knowledge on risks and mitigation strategies in remote subsea operations for offshore oil and gas systems, focusing on water injection, oil-water separation, and oil transfer processes. Addressing the research questions, the study identifies critical risk hotspots, including equipment failures, human-machine interface errors, external events (e.g., environmental conditions), and challenges in real-time monitoring and decision-making. The study concludes that traditional static risk assessment methods are insufficient for real-time remote operations, and the implementation of dynamic models, combined with comprehensive training and robust equipment design, are essential for effective risk mitigation and operational safety enhancement. The effectiveness of Bayesian networks in dynamic risk analysis was highlighted and complemented by other methodologies such as decision trees and event trees. Advancements in monitoring technologies, big data analytics, and machine learning indicate promising pathways for the evolution of risk management practices.