Abstract
The oil industry has grown in terms of quantity of facilities and process complexity. However, human and material losses still occur due to major accidents, and many of which involve human failures. These failures can be identified, modeled and quantified through Human Reliability Analysis (HRA). The most advanced HRA methods have been developed and applied in nuclear power plants, while the petroleum industry has mainly focused on process safety in terms of technical aspects of the operation and equipment. The existing HRA methodologies may not reflect the idiosyncrasies of refining and petrochemical plants regarding the interaction of the operators with the plant, their failure modes, and the factors that influence them. This paper builds on Phoenix HRA Methodology to develop a methodology specific for Petroleum Refining Operations (Phoenix-PRO). It uses as basis the Hybrid Causal Logic model, with Event Sequence Diagrams, Fault Trees and Bayesian Belief Networks. Phoenix-PRO development relied on interviews with HRA specialists, visitations to a refinery and its control room, and analysis of past oil refineries accidents. The use of this methodology for HRA of oil refineries and petrochemical plants operations can enhance this industry safety and allow for solid risk-based decisions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
