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Lessons learned from applying a new HRA method for the petroleum industry

•Nuclear HRA methods not directly transferrable to a petroleum context.•A new HRA method was developed for petroleum-specific operator actions.•Petro-HRA represents a significant step forward for HRA in the petroleum industry.•Some challenges remain to be addressed via further research and industry...

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Bibliographic Details
Published in:Reliability engineering & system safety 2020-02, Vol.194, p.106276, Article 106276
Main Authors: Taylor, Claire, Øie, Sondre, Gould, Kristian
Format: Article
Language:English
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Summary:•Nuclear HRA methods not directly transferrable to a petroleum context.•A new HRA method was developed for petroleum-specific operator actions.•Petro-HRA represents a significant step forward for HRA in the petroleum industry.•Some challenges remain to be addressed via further research and industry effort. Petro-HRA is a new human reliability analysis method developed for the petroleum industry. The human error quantification step in the Petro-HRA method was adapted from the Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method, which was originally developed for nuclear applications. During the Petro-HRA project, emphasis was placed on evaluating and adapting the SPAR-H quantification process to make it more suitable to a petroleum context. In addition, since HRA is relatively new to the petroleum industry, emphasis was also placed on the development of guidance for how to perform qualitative analysis to inform and provide the necessary substantiation for human error quantification and human error reduction. Petro-HRA is thus considered to be a “complete” method. This paper describes the key differences between the petroleum and nuclear industries, which created the need for a new HRA method. An overview of the Petro-HRA method is provided, and we document our observations and experiences from application of this new method in case studies and in commercial practice.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2018.10.001