Reliability and availability evaluation of subsea high integrity pressure protection system using stochastic Petri net

被引：4
作者：
Wang, Chuan [1 ,2 ]
Gou, Jun [1 ,2 ]
Tian, Yingcheng [3 ]
Jin, Hao [4 ]
Yu, Chao [5 ]
Liu, Yupeng [1 ,2 ]
Ma, Jiajun [1 ,2 ]
Xia, Yong [1 ,2 ]
机构：
[1] Southwest Petr Univ, Sch Mechatron Engn, Xindu Ave 8, Chengdu 610500, Sichuan, Peoples R China
[2] Southwest Petr Univ, Energy Equipment Res Inst, Chengdu, Peoples R China
[3] Oil & Gas Drilling Equipment Co Ltd, CNPC Natl Engn Res Ctr, Tianjin, Peoples R China
[4] CSIC, Res Inst 714, Beijing, Peoples R China
[5] CETS Ltd, Oil Prod Serv Co, Tianjin, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY | 2022年 / 236卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Generalized stochastic Petri net; HIPPS; reliability; availability; risk; DYNAMIC BAYESIAN NETWORKS; SAFETY-INSTRUMENTED SYSTEMS; PERFORMANCE EVALUATION; SUBJECT;
D O I：
10.1177/1748006X211049900
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a safety evaluation method of subsea High Integrity Pressure Protection System (HIPPS) based on a generalized stochastic Petri net model is proposed. Different test methods were used to detect different types of failures and to analyze the reliability of HIPPS components under the influence of common cause failures and incomplete repair. The reliability curve of a diagnostic system consisting of a transmitter system and a logic system under the influence of uncertainty over time is analyzed. The safety of HIPPS with diverse test methods were quantitatively analyzed. The results show a significant improvement in the performance of the system after testing and maintenance. Both partial-stroke testing and increased partial-stroke test coverage can be used to increase the HIPPS performance compared to traditional methods. The analysis of the Partial stroke test (PST) strategy can afford a academic basis for the selection of PST frequency and Functional test (FT) interval in practical engineering.
引用
收藏
页码：508 / 521
页数：14
相关论文
共 40 条
[1]  
Aarebrot, 1996, SPE ADV TECHNOLOGY S, V4, P155
[2]  
[Anonymous], 2000, IEC61508
[3]   Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study [J].
Cai, Baoping ;
Fan, Hongyan ;
Shao, Xiaoyan ;
Liu, Yonghong ;
Liu, Guijie ;
Liu, Zengkai ;
Ji, Renjie .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 151
[4]   Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study [J].
Cai, Baoping ;
Shao, Xiaoyan ;
Liu, Yonghong ;
Kong, Xiangdi ;
Wang, Haifeng ;
Xu, Hongqi ;
Ge, Weifeng .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (07) :5737-5747
[5]   Application of Bayesian Networks in Reliability Evaluation [J].
Cai, Baoping ;
Kong, Xiangdi ;
Liu, Yonghong ;
Lin, Jing ;
Yuan, Xiaobing ;
Xu, Hongqi ;
Ji, Renjie .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (04) :2146-2157
[6]   A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems [J].
Cai, Baoping ;
Zhao, Yubin ;
Liu, Hanlin ;
Xie, Min .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2017, 32 (07) :5590-5600
[7]   Real-time reliability evaluation methodology based on dynamic Bayesian networks: A case study of a subsea pipe ram BOP system [J].
Cai, Baoping ;
Liu, Yonghong ;
Ma, Yunpeng ;
Liu, Zengkai ;
Zhou, Yuming ;
Sun, Junhe .
ISA TRANSACTIONS, 2015, 58 :595-604
[8]   Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair [J].
Cai, Baoping ;
Liu, Yonghong ;
Zhang, Yunwei ;
Fan, Qian ;
Yu, Shilin .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (18) :7544-7554
[9]  
Caudin J., 2014, SPE INT C HLTH LONG
[10]   Dynamic Bayesian networks based approach for risk analysis of subsea wellhead fatigue failure during service life [J].
Chang Yuanjiang ;
Wu Xiangfei ;
Zhang Changshuai ;
Chen Guoming ;
Liu Xiuquan ;
Li Jiayi ;
Cai Baoping ;
Xu Liangbin .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 188 :454-462
1234