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Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary

[Image: see text] Natural gas has become a global energy consumption hotspot because of its large reserves and clean combustion. Due to soil corrosion, construction damage, and natural disasters, leakage accidents of buried natural gas pipelines often occur. In this paper, the steady simulation meth...

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Autores principales: Bu, Fanxi, Liu, Yang, Chen, Shuangqing, Xu, Zhe, Liu, Yongbin, Jiang, Minghu, Guan, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567352/
https://www.ncbi.nlm.nih.gov/pubmed/34746600
http://dx.doi.org/10.1021/acsomega.1c04322
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author Bu, Fanxi
Liu, Yang
Chen, Shuangqing
Xu, Zhe
Liu, Yongbin
Jiang, Minghu
Guan, Bing
author_facet Bu, Fanxi
Liu, Yang
Chen, Shuangqing
Xu, Zhe
Liu, Yongbin
Jiang, Minghu
Guan, Bing
author_sort Bu, Fanxi
collection PubMed
description [Image: see text] Natural gas has become a global energy consumption hotspot because of its large reserves and clean combustion. Due to soil corrosion, construction damage, and natural disasters, leakage accidents of buried natural gas pipelines often occur. In this paper, the steady simulation method was used to study the methane invasion limit state (MILS) and the methane invasion limit distance (MILD) under the conditions of hardened surface ground (HSG), unhardened surface ground (UHSG), and semihardened surface ground (SHSG), and the transient simulation of methane invasion distance (MID) under the condition of HSG with the largest MILD was carried out. The results showed that regardless of ground conditions, with the increase of leakage time, the diffusion range of methane in soil will not increase all the time, and there was a limit state (MILS). The distribution range and concentration of methane in the soil under HSG condition were the largest, followed by the SHSG condition, and the UHSG condition was the smallest. When the ground condition changed from UHSG to HSG, the MILD increased from 3.41 to 9.32 m. The HSG condition will increase the MILD and the range of dangerous areas. The buried depth of the pipeline had a serious impact on the MILD. When the buried depth of the pipeline increased from 0.3 to 1.5 m, the MILD increased from 1.75 to 3.49 m under the condition of UHSG and exceeded 10 m under the condition of HSG. The average error of the MID prediction model was 2.37% under the condition of HSG, which can accurately predict the leakage of buried pipeline. The MID provides a reference for the layout of urban underground gas leakage monitoring points. The MILD can provide guidance for the safe distance between natural gas pipeline and structures in the design code of natural gas pipeline.
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spelling pubmed-85673522021-11-05 Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary Bu, Fanxi Liu, Yang Chen, Shuangqing Xu, Zhe Liu, Yongbin Jiang, Minghu Guan, Bing ACS Omega [Image: see text] Natural gas has become a global energy consumption hotspot because of its large reserves and clean combustion. Due to soil corrosion, construction damage, and natural disasters, leakage accidents of buried natural gas pipelines often occur. In this paper, the steady simulation method was used to study the methane invasion limit state (MILS) and the methane invasion limit distance (MILD) under the conditions of hardened surface ground (HSG), unhardened surface ground (UHSG), and semihardened surface ground (SHSG), and the transient simulation of methane invasion distance (MID) under the condition of HSG with the largest MILD was carried out. The results showed that regardless of ground conditions, with the increase of leakage time, the diffusion range of methane in soil will not increase all the time, and there was a limit state (MILS). The distribution range and concentration of methane in the soil under HSG condition were the largest, followed by the SHSG condition, and the UHSG condition was the smallest. When the ground condition changed from UHSG to HSG, the MILD increased from 3.41 to 9.32 m. The HSG condition will increase the MILD and the range of dangerous areas. The buried depth of the pipeline had a serious impact on the MILD. When the buried depth of the pipeline increased from 0.3 to 1.5 m, the MILD increased from 1.75 to 3.49 m under the condition of UHSG and exceeded 10 m under the condition of HSG. The average error of the MID prediction model was 2.37% under the condition of HSG, which can accurately predict the leakage of buried pipeline. The MID provides a reference for the layout of urban underground gas leakage monitoring points. The MILD can provide guidance for the safe distance between natural gas pipeline and structures in the design code of natural gas pipeline. American Chemical Society 2021-10-21 /pmc/articles/PMC8567352/ /pubmed/34746600 http://dx.doi.org/10.1021/acsomega.1c04322 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Bu, Fanxi
Liu, Yang
Chen, Shuangqing
Xu, Zhe
Liu, Yongbin
Jiang, Minghu
Guan, Bing
Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title_full Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title_fullStr Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title_full_unstemmed Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title_short Analysis and Prediction of Methane Invasion Distance Considering Real Ground Boundary
title_sort analysis and prediction of methane invasion distance considering real ground boundary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567352/
https://www.ncbi.nlm.nih.gov/pubmed/34746600
http://dx.doi.org/10.1021/acsomega.1c04322
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