Leakage analysis and prediction model of underground high-pressure natural gas pipeline considering box culvert protection

涵洞 泄漏(经济) 地下水 石油工程 岩土工程 环境科学 机械 工程类 物理 经济 宏观经济学
作者
Zhiheng Xia,Zhao‐Dong Xu,Hongfang Lu,Haoyan Peng,Zhixun Xie,Yun Jia,Hedong Sun
出处
期刊:Chemical Engineering Research & Design [Elsevier]
标识
DOI:10.1016/j.psep.2023.10.052
摘要

Buried gas pipelines frequently experience failures as a consequence of adverse factors. The studies of gas leakage diffusion behavior and prediction of hazardous areas following pipeline failure hold profound significance in mitigating the risk of accidents. This paper exemplifies a specific segment of long-distance transportation gas pipeline in the "West-to-East Gas Transmission" project, employing the Soave-Redlich-Kwong (SRK) equation of state (EOS) to develop a numerical model for high-pressure gas leakage and diffusion, while considering box culvert protection. The characteristics of gas leakage diffusion and the effects of pressure, leakage diameter, and soil type on gas diffusion are presented. Furthermore, the prediction models for leakage rate, fastest hazardous time (FHT), fastest hazardous distance (FHD), and lateral hazardous distance (LHD) are introduced. The results show that the pressure and velocity at the beginning of the leakage manifest an annular diffusion centered on the leakage hole, stabilizing within 300 s. The gas primarily diffuses along the horizontal direction within the box culvert, and the peaks of gas concentration at the surface are situated at a distance of 2.35 m on either side of the pipeline. Variations in pressure and leakage diameter influence the gas concentration but do not alter the locations of the concentration peaks observed at the surface. The greater the viscous and inertial resistance of the soil, the shorter the overall diffusion distance becomes. However, backfilling the loam within the box culvert significantly elevates the concentration of gas that leaks to the surface. The leakage rate, FHT, FHD, and LHD can be well calculated by the prediction models proposed in this study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
站台应助呆萌的小梦采纳,获得10
2秒前
小白123完成签到,获得积分10
2秒前
4秒前
深情安青应助xu采纳,获得10
4秒前
4秒前
5秒前
马华化完成签到,获得积分0
5秒前
一点点完成签到 ,获得积分10
7秒前
8秒前
饭饭发布了新的文献求助30
10秒前
小蚊子应助duyu采纳,获得20
10秒前
10秒前
11秒前
11秒前
12秒前
淡淡816发布了新的文献求助10
13秒前
14秒前
紫色奶萨完成签到,获得积分10
14秒前
淡淡听寒发布了新的文献求助10
15秒前
16秒前
nana发布了新的文献求助10
17秒前
18秒前
SciGPT应助yin采纳,获得10
18秒前
SOLOMON应助阿yueyue采纳,获得10
18秒前
sss312发布了新的文献求助10
19秒前
缥缈大雁发布了新的文献求助10
20秒前
强健的曼易完成签到,获得积分10
20秒前
21秒前
乔修亚完成签到 ,获得积分10
22秒前
今后应助鹿鸣采纳,获得10
23秒前
xu发布了新的文献求助10
24秒前
annnnnnn发布了新的文献求助10
25秒前
老王子发布了新的文献求助10
27秒前
30秒前
cch发布了新的文献求助10
32秒前
anthea完成签到 ,获得积分10
32秒前
32秒前
热切菩萨应助强健的曼易采纳,获得10
33秒前
33秒前
maox1aoxin应助西瓜采纳,获得60
34秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
[Lambert-Eaton syndrome without calcium channel autoantibodies] 520
Pressing the Fight: Print, Propaganda, and the Cold War 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2470937
求助须知:如何正确求助?哪些是违规求助? 2137713
关于积分的说明 5446905
捐赠科研通 1861647
什么是DOI,文献DOI怎么找? 925864
版权声明 562721
科研通“疑难数据库(出版商)”最低求助积分说明 495246