Risk assessment of buried gas pipelines based on improved cloud-variable weight theory

被引:37
作者
Chen, Yinuo [1 ]
Xie, Shuyi [2 ]
Tian, Zhigang [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada
[2] CNPC Tubular Goods Res Inst, State Key Lab Performance & Struct Safety Petr Tu, Xian 710077, Peoples R China
关键词
Gas pipeline; Risk assessment index system; Variable weight theory; Cloud theory; MANAGEMENT; FAILURE; OIL;
D O I
10.1016/j.ress.2022.108374
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Various risk factors of urban gas pipelines will lead to leakage, significantly impacting the environment, assets, and life safety, thus making pipeline risk prevention and control crucial. However, existing methods cannot sufficiently model the uncertainty in the pipeline risk evaluation process. In addition, the calculation method of factor weights may lead to unrealistic results. In this study, variable weight theory and cloud theory are introduced. Then, a novel method of cloud-variable weight function is proposed to analyze the pipeline's risk level and critical risk factors by establishing a pipeline risk assessment index system. The proposed method fully considers the uncertainty in the evaluation process, resolves the contradiction of existing methods to model the fuzzy concepts accurately, optimizes the weight distribution, and obtains a more scientific and reasonable assessment result. A case study is conducted on a pipeline in Beijing City. The results illustrate that the proposed method is beneficial for helping pipeline operators determine the pipeline risk status and weak links in the pipeline system, thereby providing a basis for risk control and rehabilitation.
引用
收藏
页数:17
相关论文
共 53 条
[1]   Using the ALARP principle for safety management in the energy production sector of chemical industry [J].
Abrahamsen, Eirik Bjorheim ;
Abrahamsen, Hakon Bjorheim ;
Milazzo, Maria Francesca ;
Selvik, Jon Tommeras .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 169 :160-165
[2]   Establishing an onshore pipeline incident database to support operational risk management in Brazil-part 1: Defining architecture [J].
Alves, Douglas Thiago S. ;
Lima, Gilson Brito Alves .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 154 :480-504
[3]   Establishing an onshore pipeline incident database to support operational risk management in Brazil-Part 2: Bowtie proposition and statistics of failure [J].
Alves, S. Douglas Thiago ;
Lima, Gilson Brito Alves .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 155 :80-97
[4]  
[Anonymous], 2004, BBC NEWS 0730
[5]   Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis [J].
Badida, Pavanaditya ;
Balasubramaniam, Yakesh ;
Jayaprakash, Jayapriya .
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2019, 66 :284-292
[6]   Detection of flood influence criteria in ungauged basins on a combined Delphi-AHP approach [J].
Boulomytis, V. T. G. ;
Zuffo, A. C. ;
Imteaz, M. A. .
OPERATIONS RESEARCH PERSPECTIVES, 2019, 6
[7]   Multi-attribute risk assessment for risk ranking of natural gas pipelines [J].
Brito, A. J. ;
de Almeida, A. T. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2009, 94 (02) :187-198
[8]   Improving the ecological environmental performance to achieve carbon neutrality: The application of DPSIR-Improved matter-element extension cloud model [J].
Cao, Yanqiu ;
Bian, Yijie .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 293 (293)
[9]   Soft computing for modeling pipeline risk index under uncertainty [J].
Dawood, Thikra ;
Elwakil, Emad ;
Mayol Novoa, Hector ;
Garate Delgado, Jose Fernando .
ENGINEERING FAILURE ANALYSIS, 2020, 117
[10]   Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case [J].
Dundulis, Gintautas ;
Zutautaite, Inga ;
Janulionis, Remigijus ;
Uspuras, Eugenijus ;
Rimkevicius, Sigitas ;
Eid, Mohamed .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2016, 156 :195-202