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[1]佟淑娇,王如君,李应波,等.基于VPL的输油管道实时泄漏检测系统[J].中国安全生产科学技术,2017,13(4):117-122.[doi:10.11731/j.issn.1673-193x.2017.04.019]
 TONGShujiao,WANG Rujun,LI Yingbo,et al.Real-time leakage detection system of oil pipeline based on VPL[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(4):117-122.[doi:10.11731/j.issn.1673-193x.2017.04.019]
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基于VPL的输油管道实时泄漏检测系统
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年4期
页码:
117-122
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-04-30

文章信息/Info

Title:
Real-time leakage detection system of oil pipeline based on VPL
文章编号:
1673-193X(2017)-04-0117-06
作者:
佟淑娇1王如君2李应波3靳江红1谢鹏1吕辰4
1.北京市劳动保护科学研究所,北京 100054;2.中国安全生产科学研究院,北京 100012;3.中国石油 吉林石化分公司丙烯腈厂,吉林 吉林 132021;4.中国矿业大学北京 资源与安全工程学院,北京 100083
Author(s):
TONGShujiao1 WANG Rujun2 LI Yingbo3 JIN Jianghong1 XIE Peng1 LYU Chen4
1. Beijing Municipal Institute of Labour Protection, Beijing 100054, China;2. China Academy of Safety Science and Technology, Beijing 100012, China; 3. China Petroleum Jilin Petrochemical Company Acrylonitrile Plant, Jilin Jilin 132021, China;4. College of Resources & Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
关键词:
VPL输油管道泄漏检测实时模型泄漏量
Keywords:
VPL oil pipeline leakage detection real-time model leakage amount
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2017.04.019
文献标志码:
A
摘要:
针对现有管道泄漏检测技术在管道微小泄漏检测和油品泄漏损失计算方面存在的不足,基于流体动力学和容量守恒原理,开发基于VPL(Visual Pipeline)的输油管道实时泄漏检测系统。建立管道模拟平台,通过组态编辑器、图像界面、管道工作室和SCADA 接口,开展输油管道实时泄漏检测、定位与分析,实现管道实时泄漏检测、报警,以及泄漏量的定量计算。现场测试结果显示,所开发的输油管道泄漏检测系统最小泄漏检出率为0.7%,泄漏点定位精度为96.96%,泄漏量计算准确率为94.42%。研究结果表明:基于VPL的输油管道实时泄漏检测系统漏报、误报率低,检测定位精度较高,尤其对于微小泄漏优势明显;同时,该系统能够实时定量计算油品泄漏损失,可以用于输油管道泄漏检测与应急辅助决策。
Abstract:
Aiming at the deficiency of the current pipeline leakage detection technologies in the micro leakage detection and the leakage loss calculation of oil, a real-time leakage detection system of oil pipeline based on VPL (visual pipeline) was developed based on the fluid dynamics and the principle of volume conservation. A pipeline simulation platform was established, and the real-time leakage detection, location and analysis of oil pipeline were carried out through the configuration editor, image interface, pipeline studio and SCADA interface, so as to achieve the real-time leakage detection, alarm and the quantitative calculation of the leakage amount. The field test results showed that the minimum leakage detection rate of the developed leakage detection system for oil pipeline was 0.7%, the location accuracy of leakage point was 96.96%, and the accuracy of leakage amount calculation was 94.42%. It showed that the real-time leakage detection system of oil pipeline based on VPL has the low rates of missing report and false alarm and the higher detection location accuracy, especially for the micro leakage. At the same time, the system can quantitatively calculate the leakage loss of oil in real-time, so it can be applied in leakage detection and emergency assistant decision-making of oil pipeline.

参考文献/References:

[1]田瑛,甄建超,孙春良,等.我国油气管道建设历程及发展趋势[J].石油规划设计,2011,22(4):4-8. TIAN Ying, ZHEN Jianchao, SUN Chunliang, et al. History and development trend of oil and gas pipeline construction in China [J]. Petroleum Planning and Design,2011,22(4):4-8.
[2]Otegui J L. Challenges to the integrity of old pipelines buried in stable ground[J]. Engineering Failure Analysis, 2014, 42(4):311-323.
[3]王雪亮,苏欣,杨伟. 油气管道泄漏检测技术综述[J].天然气与石油,2007,25(3):19-23. WANG Xueliang,SU Xin,YANG Wei. Oil and gas pipeline leak detection technology [J]. Natural Gas and Oil, 2007, 25(3): 19-23.
[4]任顺顺. 油气长输管道泄漏检测技术研究[J].天然气与石油,2014,32(6):25-28. REN Shunshun. Leak detection technology of oil and gas pipeline[J]. aturalGas and Oil,2014,32(6):25-28.
[5]靳世久, 王立宁, 李健,等. 原油管道漏点定位技术[J]. 石油学报, 1998, 19(3):93-97. JIN Shijiu,WANG Lining,LI Jian,et al. Crude oil pipeline leak location technology[J]. Acta Petrolei Sinica, 1998, 19(3):93-97.
[6]王立坤.原油管道泄漏检测若干关键技术研究[D].天津:天津大学,2002.
[7]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. LIU Enbin, LI Changjun,PENG Shanbi. Application of negative pressure wave method to detect oil pipeline leakage [J]. Journal of Harbin Institute of Technology,2009,41(11):285-287.
[8]李大全,姚安林. 成品油管道泄漏扩散规律分析[J].油气储运,2006,25(8):18-24. LI Daquan, YAO Anlin. Analysis of oil pipeline leakage diffusion law [J]. oil and gas storage and transportation, 2006,25(8):18-21.
[9]刘恩斌,李长俊,贾文龙,等.液体输送管道瞬变流动分析[J]. 油气储运,2010,29(4):263-266. LIU Enbin, LI Changjun, JIA Wenlong, et al. Transient flow analysis of liquid delivery pipeline [J].Oil and gas storage and transportation,2010, 29(4):263-265.
[10]齐鄂荣,曾玉红. 工程流体力学[M]. 武汉:武汉大学出版社,2005.
[11]Krohn N, Busse G. Leak detection in pipelines using the damping of fluid transients[J]. Journal of Hydraulic Engineering, 2002, 128(7):697-711.
[12]Reed M, Emilsen M H, Hetland B, et al. Numerical model for estimation of pipeline oil spill volumes[J]. Environmental Modelling & Software, 2006, 21(2):178-189.
[13]孙良. 基于模型的油气管道泄漏检测与定位方法研究[D],北京:北京化工大学,2010.
[14]王永红,李晓平,宫敬.长输管道在线仿真系统的应用与展望[J],油气储运,2011,30(2):90-93. WANG Yonghong, LI Xiaoping, GONG Jing. Application and prospect of online simulation system for long distance pipeline [J]. oil and gas storage and transportation,2011,30(2):90-93.
[15]李欣泽.TLNET和SPS在输油管道仿真中的应用[J],管道技术与设备,2014,32(1):12-15. LI Xinze. TLNET and SPS application in oil pipeline simulation [J]. pipeline technology and equipment, 2014,32(1):12-14.
[16]肖杰,郑云萍,华红玲,等.基于SPS的输油管道典型事故瞬态工况分析[J]. 油气储运,2013,32(12):1344-1346. XIAO Jie, ZHENG Yunping, HUA Hongling, et al. Analysis of transient condition of typical accident of oil pipeline based on SPS [J]. Oil and Gas Storage and Transportation,2013,32(12):1344-1346.

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备注/Memo

备注/Memo:
国家科技支撑计划课题(2015BAK40B00,2015BAK40B02);北京市自然科学基金-北京市科学技术研究院联合资助项目(L160009)
更新日期/Last Update: 2017-05-11