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

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  • Taylor, Claire
  • Øie, Sondre
  • Gould, Kristian

Abstract

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.

Suggested Citation

  • Taylor, Claire & Øie, Sondre & Gould, Kristian, 2020. "Lessons learned from applying a new HRA method for the petroleum industry," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:reensy:v:194:y:2020:i:c:s0951832017310372
    DOI: 10.1016/j.ress.2018.10.001
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    References listed on IDEAS

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    1. Skogdalen, Jon Espen & Vinnem, Jan Erik, 2011. "Quantitative risk analysis offshore—Human and organizational factors," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 468-479.
    2. Laumann, Karin & Rasmussen, Martin, 2016. "Suggested improvements to the definitions of Standardized Plant Analysis of Risk-Human Reliability Analysis (SPAR-H) performance shaping factors, their levels and multipliers and the nominal tasks," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 287-300.
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    2. Hu, Lunhu & Pan, Xing & Ding, Song & Zuo, Dujun & Kang, Rui, 2022. "A quantitative input for evaluating human error of visual Neglection: Prediction of Operator's detection time spent on perceiving critical visual signal," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

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