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Methodology for Resilience Assessment of Oil Pipeline Network System Exposed to Earthquake

Author

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  • Jiajun Ma

    (Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
    Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China)

  • Guohua Chen

    (Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
    Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China)

  • Tao Zeng

    (Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
    Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China)

  • Lixing Zhou

    (Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
    Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China)

  • Jie Zhao

    (Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
    Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China)

  • Yuanfei Zhao

    (Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, Guangzhou 510640, China
    Guangdong Academy of Safety Science and Technology, Guangzhou 510060, China)

Abstract

The oil pipeline network system (OPNS) is an essential part of the critical infrastructure networks (CINs), and is vulnerable to earthquakes. Assessing and enhancing the resilience of the OPNS can improve its capability to cope with earthquakes or to recover the system’s performance quickly after the disturbance. This study defines the concept of OPNS resilience in the resistive ability, the adaptive ability, and the recovery ability. Then, the quantitative resilience assessment model is established considering the earthquake intensities, the role of safety barriers, the time-variant reliability, and the importance coefficient of each subsystem via a Monte Carlo simulation. Combining the model with GIS technology, a new methodology to evaluate OPNS resilience is proposed, and the resilience partition technology platform is developed, which can visualize the results of the resilience assessment. Finally, a case study is implemented to demonstrate the developed methodology, and a discussion is provided to identify the sensitive variables. The proposed resilience methodology can provide a framework for the probabilistic resilience assessment of OPNS, and could be expanded to other lifeline network systems.

Suggested Citation

  • Jiajun Ma & Guohua Chen & Tao Zeng & Lixing Zhou & Jie Zhao & Yuanfei Zhao, 2023. "Methodology for Resilience Assessment of Oil Pipeline Network System Exposed to Earthquake," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:972-:d:1025793
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    References listed on IDEAS

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    1. Luka Pajek & Mitja Košir, 2021. "Exploring Climate-Change Impacts on Energy Efficiency and Overheating Vulnerability of Bioclimatic Residential Buildings under Central European Climate," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    2. Agnieszka Ptak-Wojciechowska & Anna Januchta-Szostak & Agata Gawlak & Magda Matuszewska, 2021. "The Importance of Water and Climate-Related Aspects in the Quality of Urban Life Assessment," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    3. Yarveisy, Rioshar & Gao, Chuan & Khan, Faisal, 2020. "A simple yet robust resilience assessment metrics," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    4. Gang Lin & Shaoli Wang & Conghua Lin & Linshan Bu & Honglei Xu, 2021. "Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Netw," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    5. 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.
    6. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    7. Tomaso Vairo & Paola Gualeni & Andrea P. Reverberi & Bruno Fabiano, 2021. "Resilience Dynamic Assessment Based on Precursor Events: Application to Ship LNG Bunkering Operations," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    8. Ramadhani, Adhitya & Khan, Faisal & Colbourne, Bruce & Ahmed, Salim & Taleb-Berrouane, Mohammed, 2022. "Resilience assessment of offshore structures subjected to ice load considering complex dependencies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
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    2. Yunfeng Yang & Guohua Chen & Yuanfei Zhao, 2023. "A Quantitative Framework for Propagation Paths of Natech Domino Effects in Chemical Industrial Parks: Part II—Risk Assessment and Mitigation System," Sustainability, MDPI, vol. 15(10), pages 1-19, May.

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