基于场景聚类的天然气场站泄漏风险区域研究

doi:10.11885/j.issn.1674-5086.2022.07.22.02

西南石油大学学报(自然科学版) ›› 2024, Vol. 46 ›› Issue (1): 147-155.DOI: 10.11885/j.issn.1674-5086.2022.07.22.02

基于场景聚类的天然气场站泄漏风险区域研究

肖飞¹, 杨露¹, 王虓³, 赵学清¹, 谢宗宝¹

1. 中国石油西南油气田公司输气管理处, 四川成都 610200;
2. 中国石油大学(华东)机电工程学院, 山东青岛 266580;
3. 中国石油西南油气田公司, 四川成都 610051

收稿日期:2022-07-22 发布日期:2024-02-01
通讯作者: 肖飞,E-mail:xiaofei0208@petrochina.com.cn
作者简介:肖飞，1989年生，男，汉族，四川梓潼人，高级工程师，博士（后），主要从事天然气场站泄漏监测及优化等方面的研究工作。E-mail:xiaofei0208@petrochina.com.cn;杨露，1989年生，女，汉族，四川遂宁人，工程师，硕士，主要从事油气输送、地面工程方面的研究。E-mail:2014yl@petrochina.com.cn;王虓，1974年生，男，汉族，四川平昌人，高级工程师，主要从事油气田经营管理方面的研究。E-mail:xsgswx@petrochina.com.cn;赵学清，1988年生，女，汉族，四川成都人，工程师，硕士，主要从事油气储运方面的研究。E-mail:ZXQ1127@petrochina.com.cn;谢宗宝，1972年生，男，汉族，四川成都人，首席技师，主要从事油气输送方面的研究。E-mail:xiezongbao@petrochina.com.cn
基金资助:
中国石油西南油气田公司博士后科技基金（20210305-23）；中国博士后科学基金（2022MD713779）

Leakage Hazard Area of Natural Gas Stations Based on Scenario Cluster Analysis

XIAO Fei¹, YANG Lu¹, WANG Xiao³, ZHAO Xueqing¹, XIE Zongbao¹

1. Gas Management Office, Southwest Oil & Gas Field Company, PetroChina, Chengdu, Sichuan 610200, China;
2. College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, China;
3. Southwest Oil & Gas Field Company, PetroChina, Chengdu, Sichuan 610051, China

Received:2022-07-22 Published:2024-02-01

摘要/Abstract

摘要： 泄漏风险区域划分可为天然气场站的维护管理和应急疏散提供依据，但当前相关研究多基于发生概率最大或损失最严重的单一泄漏场景。针对以上问题，提出了基于场景聚类分析的输配气场站泄漏风险区域划分方法，并以西部某天然气输配气站为例具体分析研究。通过K-means聚类分析筛选出153个代表场景，借助数值模拟得到场站内天然气泄漏扩散后气云浓度分布，最终将场景概率和场站平面图中各网格浓度加权得到泄漏风险区域。与其他风险区域划分相比，提出的方法不仅解决现有单一泄漏场景考虑因素不够全面，普适性差的问题，而且进一步降低了数据冗余度，减少大量工作量和时间。

关键词: 场景聚类, 天然气场站, 泄漏扩散, 风险区域, 数值模拟

Abstract: Leakage hazard area can provide the basis for decision in maintenance management and emergency evacuation of natural gas stations. However, the relevant researches were mostly focused on the single leakage scenario with the highest probability of occurrence or the most serious loss. In view of the above problems, a method based on scenario cluster analysis for the leakage hazard area classification was developed, and a gas transmission station was selected for test. The typical 153 scenarios were selected via K-means cluster analysis, and the gas distribution for different leakage scenarios were calculated from CFD simulations. Finally, a leakage classification area was obtained with the consideration of scenario probability and its gas distribution. By comparison, the leakage hazard area in this paper solved the problems of single scenario, such as bad generality and flexibility. It also improved the efficiency of work by decreasing data redundancy.

Key words: scenario cluster, natural gas station, leakage diffusion, hazard area, numerical simulation

中图分类号:

TE832

肖飞, 杨露, 王虓, 赵学清, 谢宗宝. 基于场景聚类的天然气场站泄漏风险区域研究[J]. 西南石油大学学报(自然科学版), 2024, 46(1): 147-155.

XIAO Fei, YANG Lu, WANG Xiao, ZHAO Xueqing, XIE Zongbao. Leakage Hazard Area of Natural Gas Stations Based on Scenario Cluster Analysis[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2024, 46(1): 147-155.

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基于场景聚类的天然气场站泄漏风险区域研究

Leakage Hazard Area of Natural Gas Stations Based on Scenario Cluster Analysis

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