Resilience assessment of FPSO leakage emergency response based on quantitative FRAM

被引:1
|
作者
Yu, Jianxing [1 ,2 ]
Zeng, Qingze [1 ,2 ]
Yu, Yang [1 ,2 ]
Zhang, Baolei [3 ]
Ma, Wentao [1 ,2 ]
Wu, Shibo [1 ,2 ]
Ding, Hongyu [1 ,2 ]
Li, Zhenmian [1 ,2 ]
机构
[1] State Key Lab Hydraul Engn Intelligent Construct &, 135 Yaguan Rd, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Tianjin Key Lab Port & Ocean Engn, Tianjin 300072, Peoples R China
[3] Oil Prod Serv Co, CNOOC Energy Technol & Serv Ltd, Tianjin 300452, Peoples R China
基金
中国国家自然科学基金;
关键词
Resilience assessment; Functional resonance analysis method; Quantitative assessment; FPSO leakage emergency response; RESONANCE ANALYSIS METHOD; NATURAL-GAS LEAKAGE; RISK ANALYSIS; SYSTEM; OIL; EXPLOSION;
D O I
10.1016/j.ress.2024.110526
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
FPSO production process is prone to leakage, and failure to respond promptly and effectively will lead to accident escalation and serious consequences. However, traditional safety assessment methods cannot handle the nonlinear relationships between human, technology, and organization in emergency response process. This study proposes a quantitative FRAM to evaluate the emergency response resilience of FPSO leakage. This method establishes a resilience evaluation framework including three tiers: function, ability, and system, which can quantify system resilience based on the variability of function. First, identify basic functions according to the four stages of monitoring, response, learning and anticipation in the emergency response process, and establish the FRAM model of FPSO leakage emergency response. Then, the quantitative FRAM and Monte Carlo simulation are combined to calculate the variabilities of functions under different operating conditions. Finally, based on the simulation results, the variabilities of basic functions are aggregated and statistically analyzed to quantify system resilience. The implementation process of this method is illustrated by a case study. The influence of different factors on the system resilience is analyzed by setting various operation scenarios, and critical functions are identified by sensitivity analysis, which can provide reference for improving system resilience and ensuring FPSO safety production.
引用
收藏
页数:17
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