Jiahang Li , Shengzhu Zhang , Xu Wang , Xu Cao , Jiashuai Wang , Zongzhi Wu
{"title":"Vertical gas dispersion from high-pressure pipeline failures: Characterizing hazardous cloud formation in open environments","authors":"Jiahang Li , Shengzhu Zhang , Xu Wang , Xu Cao , Jiashuai Wang , Zongzhi Wu","doi":"10.1016/j.ngib.2026.01.004","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines how natural gas disperses vertically when high-pressure pipelines with large openings fail in unconfined environments, providing insight into hazardous gas cloud development and behavior. A comprehensive study was conducted using a full-scale field experiment (1,219 mm diameter, 12 MPa pressure, 100 mm aperture) combined with a validated computational fluid dynamics (CFD) numerical simulation model to systematically analyze the coupling effects of pipeline pressure and ambient wind speed. The results indicate that: (1) Pipeline pressure determines the vertical jet scale, where jet height is positively correlated with pressure; at 12 MPa, the maximum jet height reaches 69.4 m (approximately 2.65 times that at 4 MPa), and the lower explosive limit (LEL) cloud area follows a quadratic polynomial trend.(2) Ambient wind speed significantly alters the diffusion trajectory; at a wind speed of 10 m/s, the LEL gas cloud area expands by 1.69 times compared to calm conditions, while the jet height is suppressed to 29.9 % of the calm wind value.(3) Our developed dynamic prediction model for the hazardous gas-cloud region achieves a determination coefficient of 0.975 and maintaining prediction errors maintained within approximately 12 %. The proposed empirical correlations and dynamic prediction model provide essential quantitative data support for safety-distance design and emergency-response decision-making for high-pressure natural gas pipelines.</div></div>","PeriodicalId":37116,"journal":{"name":"Natural Gas Industry B","volume":"13 1","pages":"Pages 111-127"},"PeriodicalIF":5.0000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Gas Industry B","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352854026000045","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines how natural gas disperses vertically when high-pressure pipelines with large openings fail in unconfined environments, providing insight into hazardous gas cloud development and behavior. A comprehensive study was conducted using a full-scale field experiment (1,219 mm diameter, 12 MPa pressure, 100 mm aperture) combined with a validated computational fluid dynamics (CFD) numerical simulation model to systematically analyze the coupling effects of pipeline pressure and ambient wind speed. The results indicate that: (1) Pipeline pressure determines the vertical jet scale, where jet height is positively correlated with pressure; at 12 MPa, the maximum jet height reaches 69.4 m (approximately 2.65 times that at 4 MPa), and the lower explosive limit (LEL) cloud area follows a quadratic polynomial trend.(2) Ambient wind speed significantly alters the diffusion trajectory; at a wind speed of 10 m/s, the LEL gas cloud area expands by 1.69 times compared to calm conditions, while the jet height is suppressed to 29.9 % of the calm wind value.(3) Our developed dynamic prediction model for the hazardous gas-cloud region achieves a determination coefficient of 0.975 and maintaining prediction errors maintained within approximately 12 %. The proposed empirical correlations and dynamic prediction model provide essential quantitative data support for safety-distance design and emergency-response decision-making for high-pressure natural gas pipelines.