海底
贝叶斯网络
工程类
钥匙(锁)
可靠性工程
过程(计算)
海上油气
控制(管理)
风险分析(工程)
计算机科学
系统工程
海底管道
海洋工程
计算机安全
操作系统
人工智能
岩土工程
医学
作者
Xiangying Meng,Guo-Ming Chen,Jingyu Zhu,Tieshan Li
标识
DOI:10.1016/j.oceaneng.2022.111740
摘要
Blowout preventer (BOP) plays a key role in preventing blowout accidents from occurring during offshore or deepwater drilling. The safety of BOP is affected by diverse components and interactions among them. It is vital to identify the crucial failure modes using safety assessment method. To perform a qualitative, quantitative, and systematic safety assessment of BOP, this paper presents an integrated method—using the system-theoretic accident model and process (STAMP)-Bayesian network (BN)—for evaluation of the structure safety and prediction of the failure scenarios. In the proposed method, STAMP is used to identify the failure scenarios by establishing a hierarchical control and feedback model that tallies with the BOP structure, while BN is adopted to calculate the probabilities of potential failure modes based on the outcomes of STAMP. The approach is then explored in a case study where factors regarding humans, components and control systems, and constraints and control relationships among them are all considered. The results demonstrate the feasibility of the integrated method as a way of performing a safety analysis for BOP. This research overcomes the deficiencies of traditional methods that cannot effectively evaluate the interactions of components, thereby providing a reference for safety/risk analyses of complex systems.
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