Integrated methodology for safety analysis based on a system-theoretic approach and numerical simulation

被引:2
作者
Zhu, Jingyu [1 ,2 ]
Meng, Huixing [3 ]
Zhang, Shaoyu [1 ]
Chen, Guoming [2 ]
Abbassi, Rouzbeh [4 ]
Meng, Xiangkun [5 ]
机构
[1] Tianjin Fire Sci & Technol Res Inst MEM, Tianjin 300381, Peoples R China
[2] China Univ Petr, Ctr Offshore Engn & Safety Technol, Qingdao 266580, Shandong, Peoples R China
[3] Beijing Inst Technol, State Key Lab Explos Sci & Safety Protect, Beijing 100081, Peoples R China
[4] Macquarie Univ, Fac Sci & Engn, Sch Engn, Sydney, NSW, Australia
[5] Dalian Maritime Univ, Nav Coll, 1 Linghai Rd, Dalian, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Safety analysis; System -theoretic approach; Numerical simulation; Unsafe control actions (UCAs); Blind shear ram preventer; OPERATIONAL RISK ANALYSIS; SUBSEA BLOWOUT PREVENTER; MANAGEMENT; HAZOP; MODEL; STPA;
D O I
10.1016/j.psep.2024.04.110
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The System -Theoretic Process Analysis (STPA) method is a recognized approach to system safety analysis. However, it still has inadequate capabilities for quantitative safety analysis. To overcome this limitation, an integrated methodology was investigated for quantitative safety analysis of the complex socio-technical system that combines a system -theoretic approach and numerical simulation. In the proposed methodology, STPA method is utilized to reveal potential unsafe control actions (UCAs) and corresponding causes based on the operational principle of the target system from systemic perspective. Moreover, the consequences of identified UCAs can be quantified and safety constraints also can be improved to prevent UCAs using numerical simulations. As a complex system, the blind shear ram preventers (BSRPs) in deepwater drilling activities, with tightly interacting diverse subsystems or components, is employed to illustrate the applicability of the methodology. The results verified that the proposed methodology could evaluate potential hazards and quantify the analysis results. These results will be helpful for the design and safe operations of the BSRP system. The developed methodology has the potential to be used for safety analyses in other process industries.
引用
收藏
页码:1555 / 1566
页数:12
相关论文
共 38 条
  • [1] A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries
    Antonello, Federico
    Buongiorno, Jacopo
    Zio, Enrico
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 228
  • [2] Operational risk analysis of a containerized lithium-ion battery energy storage system based on STPA and fuzzy evaluation
    Bu, Yang
    Wu, Yichun
    Li, Xianlong
    Pei, Yiru
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2023, 176 : 627 - 640
  • [3] Using Bayesian networks in reliability evaluation for subsea blowout preventer control system
    Cai, Baoping
    Liu, Yonghong
    Liu, Zengkai
    Tian, Xiaojie
    Dong, Xin
    Yu, Shilin
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2012, 108 : 32 - 41
  • [4] STPA for continuous controls: A flight testing study of aircraft crosswind takeoffs
    Castilho, Diogo Silva
    Urbina, Ligia M. S.
    de Andrade, Donizeti
    [J]. SAFETY SCIENCE, 2018, 108 : 129 - 139
  • [5] Operational risk analysis of blowout scenario in offshore drilling operation
    Chen, Kun
    Wei, Xin
    Li, Hui
    Lin, Hao
    Khan, Faisal
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 149 : 422 - 431
  • [6] DNV, 2011, Report No. EP030842, VI
  • [7] Component joint importance measures for maintenances in submarine blowout preventer system
    Dui, Hongyan
    Zhang, Chi
    Zheng, Xiaoqian
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2020, 63
  • [8] Reliability analysis of subsea blowout preventers with condition-based maintenance using stochastic Petri nets
    Elusakin, Tobi
    Shafiee, Mahmood
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2020, 63 (63)
  • [9] [郭子涛 Guo Zitao], 2018, [爆炸与冲击, Explosion and Shock Waves], V38, P1325
  • [10] A quantitative risk analysis model considering uncertain information
    He, Rui
    Li, Xinhong
    Chen, Guoming
    Wang, Yanchun
    Jiang, Shengyu
    Zhi, Chenxiao
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 118 : 361 - 370