• A comprehensive risk assessment model for evacuation on offshore oil and gas bridge-linked platforms (OOBLP) under H 2 S leakage conditions was proposed. • A new evacuation time estimation model featuring a refined schedule of the evacuation process to better represent the operational complexities specific to OOBLP evacuations is developed. • An experiment-based method for setting individual evacuation speeds on OOBLPs was proposed • An additional metric, leakage impact scale, to enhance risk characterization when assessing evacuationrisk on OOBLPs was considered. • Simulation results reveal that, on OOBLPs, nighttime scenarios exhibit lower evacuation risks than daytime ones. The offshore oil and gas industry is continuously exposed to complex risks. Among these, hydrogen sulfide leaks on offshore platforms have led to several major disasters. Focusing on a specific type of offshore infrastructure, offshore oil and gas bridge-linked platforms (OOBLPs), this study proposes an evacuation risk assessment model integrating agent-based simulation and computational fluid dynamics (CFD). The model evaluates risk based on the As Low As Reasonably Practicable (ALARP) principle and a newly proposed metric, the leakage impact scale, incorporating experiment-based speed settings and a refined time estimation method. The case study of OOBLPs located in the Bohai Sea, China reveals that, contrary to typical expectations, nighttime conditions result in shorter evacuation clearance times and lower risks than daytime conditions. Areas near access bridges are identified as critical high-risk zones. Based on the findings, the study suggests scenario-specific optimization strategies and evacuation plans. The proposed model and findings provide support for risk management in complex offshore industrial environments.
Feng et al. (Sun,) studied this question.