Integrating FRAM with Dynamic Graph Approach for Risk Analysis during Maintenance Operation

Abstract

Maintenance operation in an oil and gas facility is a socio-technical endeavor under varying demands and situations. While some recent papers have focused on modeling the risk of such operations by updating QRA, there is still a growing need for understanding how different actions during maintenance operation may affect safety and increase the risk of hydrocarbon release. To assess the risks arising from dynamic interactions in a complex socio-technical system, this paper follows a Safety-II perspective and utilizes the Functional Resonance Analysis Method (FRAM). The FRAM intends to describe how performance variability of system functions may affect the risk. To investigate the functional performance variability as well as its propagation through the model, Risk Influencing Factors (RIFs) are defined, and their effectiveness is evaluated. To facilitate the modeling and better understanding of the evolution of the system, the study has adopted the directed graph interpretation of FRAM modeling and has improved it, by considering the role of RIFs in functional performance variability. This approach captures the effect of changes within the system and provides a systematic prioritization of critical stages and interactions during maintenance work through graph topological analysis.