62 / 2021-10-15 10:26:54
Bayesian network-based reliability analysis of deepwater shear ram preventer
BOP; shear ram; Bayesian network; reliability.
摘要待审
张乔 / 中国石油大学(北京)
张苹茹 / 中国石油大学(北京)
ZhangLaibin / China university of petroleum; Beijing
武胜男 / 中国石油大学(北京)
冯桓榰 / 中国石油大学(北京)
李滨 / 中国石油大学(北京)
As an important equipment to ensure the safety of deepwater drilling operations, the deepwater shear ram preventer can shear the drill pipe and seal the well in case of emergency. This paper proposes a Bayesian network-based reliability analysis method for deepwater shear ram preventer in automatic shearing process. This method can transform the fault tree model with the failure of the deepwater shear ram preventer as the top event into a Bayesian network model during testing intervals. The time-dependent failure probability of the subsystem is predicted by following exponential distribution. On this basis, the reliability of the deepwater shear ram preventer system is estimated in terms of the influence of various events that cause its failure and parameters. The key factor is identified, which affects the reliability of the system, and the reliability of the system decrease over time if no more testing strategies are involved.

 
重要日期
  • 会议日期

    10月22日

    2021

    10月25日

    2021

  • 09月15日 2021

    提前注册日期

  • 10月25日 2021

    注册截止日期

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SUT 中国分会
大连理工大学
中国石油大学(北京)
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辽宁省力学学会
大连市科学技术协会
工业装备结构分析国家重点实验室
海岸和近海工程国家重点实验室
橡塑制品成型数值模拟与优化学科创新引智基地
大连理工大学宁波研究院
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