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[1]司明理,曾发镔,郑登锋.隧道内埋地油气管道巡检安全风险评价模型[J].油气储运,2022,41(10):1159-1167.[doi:10.6047/j.issn.1000-8241.2022.10.005]
　SI Mingli,ZENG Fabin,ZHENG Dengfeng.Safety risk assessment model for patrol inspection of buried oil and gas pipelines in tunnels[J].Oil & Gas Storage and Transportation,2022,41(10):1159-1167.[doi:10.6047/j.issn.1000-8241.2022.10.005]
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隧道内埋地油气管道巡检安全风险评价模型

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 41 期数: 2022年10期 页码: 1159-1167 栏目: 检测与完整性 出版日期: 2022-10-25
Title:
Safety risk assessment model for patrol inspection of buried oil and gas pipelines in tunnels
文章编号:
1000-8241（2022）10-1159-09
作者:
司明理1; 2; 曾发镔1; 郑登锋1; 3
1.北京科技大学土木与资源工程学院;2.新疆自治区安全生产应急救援指挥中心;3.国家管网集团西部管道公司
Author(s):
SI Mingli1; 2; ZENG Fabin1; ZHENG Dengfeng1; 3
1.Civil and Resource Engineering School, University of Science and Technology Beijing;2.Production Safety Emergency Rescue Command Center, Xinjiang Uygur Autonomous Region;3.PipeChina West Pipeline Company
关键词:
油气管道; 隧道; 巡检; 云模型; 组合赋权; 风险评价
Keywords:
oil and gas pipelines;  tunnels;  patrol inspection;  cloud model;  combination weighting;  risk assessment
分类号:
TE88
DOI:
10.6047/j.issn.1000-8241.2022.10.005
文献标志码:
A
摘要:
为有效评价隧道内埋地长输管道巡检的风险等级，针对管道巡检作业随机性、模糊性的特点，引入云理论与组合赋权方法，构建了隧道内埋地油气管道巡检安全风险评价模型。以穿越某隧道群的国家管网集团伊犁果子沟段管道为例，基于危险源理论，选取隧道因素、路网因素、环境因素、人的行为、物的状态以及管理水平6个方面29项风险因素作为评价指标；基于欧式距离组合，运用改进G2法与CRITIC（Criteria Importance Though Intercrieria Correlation）法确定各指标的权重系数；依据各指标的分级标准，利用Matlab软件计算云模型的特征参数并生成云图；通过正向云发生器，确定不同风险等级下的指标隶属度、综合隶属度。研究结果表明：基于欧式距离的组合赋权方法既可以降低决策者的主观不确定性，又可以消除数据间的客观误差，评价结果与工程实评结果吻合较好。构建的评价模型具有较好的科学性与适用性，可为管道巡检风险评价提供新思路。（图2，表5，参19）
Abstract:
The patrol inspection of oil and gas pipelines has the characteristics of randomness and fuzziness. In order to effectively assess the risk level of patrol inspection of buried long-distance oil and gas pipelines in tunnels, a safety risk assessment model for patrol inspection of pipelines was constructed by introducing the cloud theory and combination weighting method. Herein, study was performed on Ili?Guozigou Pipeline of PipeChina in a tunnel group. Specifically, 29 risk factors in 6 aspects,i.e., tunnel, road network, environment, human behavior, state of object and management level, were used as the assessment indicators based on the hazard theory. Meanwhile, the weight coefficients of each indicator were determined using the improved G2 method and CRITIC (Criteria Importance Though Intercrieria Correlation) method based on the combination of Euclidean distance. The characteristic parameters of the cloud model were calculated and the cloud image was generated with Matlab software according to the classification standards of each indicator. Besides, the indicator membership degree and the comprehensive membership degree under different risk levels were determined by the forward cloud generator. The results show that the combination weighting technique based on Euclidean distance can not only reduce the subjective uncertainty of decision-makers, but also eliminate the objective errors between data. In addition, the assessment results are in good agreement with the field engineering evaluation results. The assessment model constructed has good scientificity and applicability, and is capable of providing new ideas for the risk assessment of patrol inspection of the buried long-distance oil and gas pipelines in tunnels. (2 Figures, 5 Tables, 19 References)

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备注/Memo

司明理，男，1977年生，高级工程师，2007年毕业于新疆农业大学农业机械化工程专业，现主要从事应急救援指挥专业方向的研究工作。地址：新疆乌鲁木齐市新市区湖州路1799号， 830000。电话：13639926067。Email：454180769@qq.com通信作者：曾发镔，男，1996年生，在读博士生，2021年毕业于北京科技大学安全科学与工程专业，现主要从事安全科学与灾害防治专业方向的研究工作。地址：北京市海淀区学院路30号，100083。电话：18801335998。Email：d202110062@xs.ustb.edu.cn
基金项目：中国石油西部管道分公司科技攻关项目“油气管道安全风险数据库建设”，GDXB08-2019-018。
（收稿日期：2021-09-07；修回日期：2022-05-09；编辑：李在蓉）

更新日期/Last Update: 2022-10-25