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A Quantitative Risk Analysis Method for the High Hazard Mechanical System in Petroleum and Petrochemical Industry

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  • Yang Tang

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
    Key Laboratory of Oil &Gas Equipment, Ministry of Education (Southwest Petroleum University), Chengdu 610500, China)

  • Jiajia Jing

    (Drilling & Production Engineering Technology Research Institute, Chuanqing Drilling Engineering Company Limited, CNPC, Guanghan 618000, China)

  • Zhidong Zhang

    (Drilling & Production Engineering Technology Research Institute, Chuanqing Drilling Engineering Company Limited, CNPC, Guanghan 618000, China)

  • Yan Yang

    (School of Sciences, Southwest Petroleum University, Chengdu 610500, China)

Abstract

The high hazard mechanical system (HHMS) has three characteristics in the petroleum and petrochemical industry (PPI): high risk, high cost, and high technology requirements. For a HHMS, part, component, and subsystem failures will result in varying degrees and various types of risk consequences, including unexpected downtime, production losses, economic costs, safety accidents, and environmental pollution. Thus, obtaining the quantitative risk level and distribution in a HHMS to control major risk accidents and ensure safe production is of vital importance. However, the structure of the HHMS is more complex than some other systems, making the quantitative risk analysis process more difficult. Additionally, a variety of uncertain risk data hinder the realization of quantitative risk analysis. A few quantitative risk analysis techniques and studies for HHMS exist, especially in the PPI. Therefore, a study on the quantitative risk analysis method for HHMS was completed to obtain the risk level and distribution of high-risk objects. Firstly, Fuzzy Set Theory (FST) was applied to address the uncertain risk data for the occurrence probability (OP) and consequence severity (CS) in the risk analysis process. Secondly, a fuzzy fault tree analysis (FFTA) and a fuzzy event tree analysis (FETA) were used to achieve quantitative risk analysis and calculation. Thirdly, a fuzzy bow-tie model (FBTM) was established to obtain a quantitative risk assessment result according to the analysis results of the FFTA and FETA. Finally, the feasibility and practicability of the method were verified with a case study on the quantitative risk analysis of one reciprocating pump system (RPS). The quantitative risk analysis method for HHMS can provide more accurate and scientific data support for the development of Asset Integrity Management (AIM) systems in the PPI.

Suggested Citation

  • Yang Tang & Jiajia Jing & Zhidong Zhang & Yan Yang, 2017. "A Quantitative Risk Analysis Method for the High Hazard Mechanical System in Petroleum and Petrochemical Industry," Energies, MDPI, vol. 11(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:14-:d:123925
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    References listed on IDEAS

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    1. Landucci, Gabriele & Necci, Amos & Antonioni, Giacomo & Argenti, Francesca & Cozzani, Valerio, 2017. "Risk assessment of mitigated domino scenarios in process facilities," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 37-53.
    2. Landucci, Gabriele & Argenti, Francesca & Tugnoli, Alessandro & Cozzani, Valerio, 2015. "Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 30-43.
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