风速对激光检测天然气管道泄漏影响分析
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摘要
文中建立了埋地天然气管道泄漏扩散模型,采用Fluent软件模拟不同风速下的天然气扩散过程,并分析了其对激光检测的影响。研究结果表明:在探测范围内,风速越大,天然气扩散范围向背风侧偏转且越贴近于地面,迎风侧光谱值越大;随着风速的增大,背风侧天然气扩散浓度变大,且光谱值越小。
Dispersion model of buried natural gas pipeline leakage was established, and natural gas dispersion process with different wind speed was simulated by using Fluent software in this paper, then wind speed influence on laser detection was analyzed. The results show that in the detection distance, with the wind speed increasing, the diffusion range of natural gas deflects to the leeward side and gets closer to the ground, and the windward spectral value becomes large. Natural gas diffusion concentration becomes large with the increase of wind speed in leeward, and the spectral value becomes small.
Dispersion model of buried natural gas pipeline leakage was established, and natural gas dispersion process with different wind speed was simulated by using Fluent software in this paper, then wind speed influence on laser detection was analyzed. The results show that in the detection distance, with the wind speed increasing, the diffusion range of natural gas deflects to the leeward side and gets closer to the ground, and the windward spectral value becomes large. Natural gas diffusion concentration becomes large with the increase of wind speed in leeward, and the spectral value becomes small.
引文
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[2] 宋兆勇,赵云峰,苏奇,等.管道输送天然气泄漏危害的定量分析[J].石油工业技术监督,2014(1):47-49;54.
[3] PONTIGGIA M,LANDUCCI G,BUSINI V,et al.CFD model simulation of LPG dispersion in urban areas[J].Atmospheric Environment,2011,45(24):3913-3923.
[4] WANG T,HUTCHINSON T C.Gas leakage rate through reinforced concrete shear walls: Numerical study[J].Nuclear Engineering and Design,2005,235(21):2246-2260.
[5] CUI J,MA S Y,LIANG Y P,et al.Numerical simulation for perforation-caused leakage diffusion of buried gas pipeline[J].Applied Mechanics and Materials,2014,509: 135-140.
[6] YANG Z,LAI J,LIU L.Numerical modeling of fires on gas pipelines[J].Applied Thermal Engineering,2011,31(S6/7):1347-1351.
[7] 黄琴,蒋军成.液化天然气泄漏扩散实验的CFD模拟验证[J].工业安全与环保,2008(1):21-24.
[8] 刘恩斌,李长俊,彭善碧.应用负压波法检测输油管道的泄漏事故[J].哈尔滨工业大学学报,2009,41(11):285-287.
[9] GAO B K,SHI G J,WANG Q.Neural network and data fusion in the application research of natural gas pipeline leakage detection[J].International Journal of Signal Processing,Image Processing and Pattern Recognition,2013,6(6):129-140.
[10] HAO J,ZHANG L,WEI L,et al.Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method[J].Journal of Loss Prevention in the Process Industries,2014,27(1):74-88.
[11] BATZIAS F A,SIONTOROU C G,SPANIDIS P M P.Designing a reliable leak bio-detection system for natural gas pipelines[J].Journal of Hazardous Materials,2011,186(1):35-58.
[12] BUSHMELEVA K I,PLYUSNIN I I,BUSHMELEV P E,et al.Modeling the optimal parameters for a remote sensing device[J].Measurement Techniques,2011,54(3):294-299.
[13] 李正文,亓洪兴,肖功海,等.实用化机载天然气管道泄漏监测红外激光雷达[J].红外与毫米波学报,2011,30(2):184-188.
[14] 于殿强.隧道天然气管道泄漏激光监测技术[J].石油工程建设,2009,35(S1):81-82;10.
[15] 付吉强,熊新强,王芸,等.架空含硫天然气管道泄漏扩散数值模拟研究[J].当代化工,2011,40(10):1079-1083.
[16] 官学源.埋地天然气管道持续泄漏数值模拟[J].当代化工,2015,44(8):1974-1976.
[17] 熊兆洪,李振林,宫敬,等.埋地管道小泄漏模型及数值求解[J].石油学报,2012,33(3):493-498.
[18] 葛岚,吴明,赵玲,等.埋地天然气管道泄漏扩散数值模拟[J].辽宁石油化工大学学报,2014,34(5):19-22;27.
[19] 张建国.油气层渗流力学[M].北京:石油大学出版社,1998.
[20] 王健.埋地天然气管道泄漏扩散数值模拟[J].当代化工,2015(10):2494-2496.
[21] 黄雪驰,马贵阳,张一楠,等.风力因素对天然气管道泄漏扩散影响的数值模拟[J].辽宁石油化工大学学报,2015(4):30-35.