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Using stakeholders’ judgement and fuzzy logic theory to analyze the risk influencing factors in oil and gas pipeline projects: Case study in Iraq, Stage II

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  • Kraidi, Layth
  • Shah, Raj
  • Matipa, Wilfred
  • Borthwick, Fiona

Abstract

Oil and gas pipelines are safe and economic to petroleum products transportation. Nevertheless, enormous risk influencing factors are threatening the safety of these pipelines during the planning, construction and operations stages of these projects. Risk analysis in these projects is hindered by the inaccurate data about the probability and severity levels of the risk influencing factors. This problem is exacerbated further in troubled and developing countries, where the documentations and records are not at the best conditions. This study aims to identify and analyze potential risk influencing factors using a more integrated risk analysis framework. In this a such framework, the critical risk influencing factors and some of applied risk mitigation methods were identified based on a comprehensive review of pipelines projects worldwide. The impact of the identified factors and the effectiveness of mitigation methods were evaluated based on an industry-wide questionnaire survey, which was conducted in Iraq. A Computer-Based Risk Analysis Model (CBRAM) was designed to analyze the risk influencing factors using a fuzzy logic theory to consider any uncertainty that is associated with stakeholders’ judgments and data scarcity. The CBRAM has confirmed the most critical risk influencing factors, which this study has explained the effective methods to manage them.

Suggested Citation

  • Kraidi, Layth & Shah, Raj & Matipa, Wilfred & Borthwick, Fiona, 2020. "Using stakeholders’ judgement and fuzzy logic theory to analyze the risk influencing factors in oil and gas pipeline projects: Case study in Iraq, Stage II," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    • Handle: RePEc:eee:ijocip:v:28:y:2020:i:c:s1874548220300019
    DOI: 10.1016/j.ijcip.2020.100337
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    References listed on IDEAS

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    2. Wu, Wei-Shing & Yang, Chen-Feng & Chang, Jung-Chuan & Château, Pierre-Alexandre & Chang, Yang-Chi, 2015. "Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 515-524.
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    Cited by:

    1. Qin, Jiazheng & Song, Junjie & Tang, Yong & Rui, Zhenhua & Wang, Yong & He, Youwei, 2023. "Well applicability assessment based on fuzzy theory for CO2 sequestration in depleted gas reservoirs," Renewable Energy, Elsevier, vol. 206(C), pages 239-250.
    2. Qusay Hassan & Aws Zuhair Sameen & Hayder M. Salman & Marek Jaszczur, 2023. "A Roadmap with Strategic Policy toward Green Hydrogen Production: The Case of Iraq," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    3. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    4. Tang, Yong & Chen, Yulin & He, Youwei & Yu, Guangming & Guo, Xifeng & Yang, Qing & Wang, Yong, 2021. "An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability," Energy, Elsevier, vol. 236(C).

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