负压波法在液体管道上的可检测泄漏率分析

doi:10.7623/syxb201004026

石油学报 ›› 2010, Vol. 31 ›› Issue (4): 654-658.DOI: 10.7623/syxb201004026

负压波法在液体管道上的可检测泄漏率分析

孙良 1,2 王建林 1 赵利强 1

1北京化工大学信息科学与技术学院北京 100029； 2中国石油大学信息与控制工程学院山东东营 257061

收稿日期:2009-10-05 修回日期:2010-01-18 出版日期:2010-07-25 发布日期:2010-09-25
通讯作者: 孙良
作者简介:孙良，女，1970年9月生，1996年获石油大学自动化专业硕士学位，现为北京化工大学在读博士研究生，主要从事油气管道的安全监测和智能检测方面的研究。
基金资助:
北京自然科学基金项目（No.4082022）资助。

Analysis on detectable leakage ratio of liquid pipeline by negative pressure wave method

SUN Liang 1,2 WANG Jianlin 1 ZHAO Liqiang 1

Received:2009-10-05 Revised:2010-01-18 Online:2010-07-25 Published:2010-09-25

摘要/Abstract

摘要：

由于管道泄漏引发的负压波大小及其沿管道的衰减程度都与管道工况、长度、口径和介质物性等管道特性有关，因此管道特性决定了负压波法在管道上的可检测性。依据特征线理论，对管道的泄漏发生机理和压力波传播机理进行了研究，建立了管道内产生负压波及其传播中衰减程度的计算模型，并利用实际输油管道的操作数据验证了所建立的计算模型的准确性。以该计算模型为基础，进一步分析了管道特性与负压波法的可检测泄漏率等指标的关系，为管道的设计和布局提供参考，并可对基于负压波法的管道泄漏检测系统进行正确的评价。

关键词: 管道特性, 泄漏检测, 负压波法, 可检测泄漏率, 负压波衰减程度, 计算模型, 管道泄漏检测系统

Abstract:

The characteristics of pipeline such as length, diameter, operating conditions and the property of the transferred medium have certain relations with the amplitude and propagation attenuation of the negative pressure wave induced by the leakage of pipeline. Therefore， the pipeline characteristics determine the detectable leakage ratio by the negative pressure wave method for liquid pipeline. On the basis of the Method of Characteristics (MOC) theory, the leakage occurrence mechanism of pipeline and the propagation mechanism of the pressure wave along the pipeline were studied. The computational models were established for generating the negative pressure wave induced by pipeline leakage and for calculating the propagation attenuation of the negative pressure wave along the pipeline. The model for the wave propagation attenuation was validated by the operation data of the real oil pipeline. The experimental results verified the accuracy of the model for calculating the attenuation of the negative pressure wave. The effects of pipeline characteristics on the performance indexes of the negative pressure wave method such as the detectable leakage ratio were analyzed. The computational model can provide some reference for pipeline design and layout. The leak detection system based on negative pressure wave method can be correctly evaluated as well.

Key words: pipeline characteristics, leak detection, negative pressure wave method, detectable leakage ratio, attenuation of negative pressure wave, computational model, pipeline leak detection system

孙良王建林赵利强. 负压波法在液体管道上的可检测泄漏率分析[J]. 石油学报, 2010, 31(4): 654-658.

SUN Liang WANG Jianlin ZHAO Liqiang. Analysis on detectable leakage ratio of liquid pipeline by negative pressure wave method[J]. Editorial office of ACTA PETROLEI SINICA, 2010, 31(4): 654-658.

参考文献

[1]唐恂，张琳，苏欣，等.长输管道泄漏检测技术发展现状[J].油气储运,2007,26(7):11-14,29.

Tang Xun,Zhang Lin，Su Xin， et al.Technology and development globally in leak detection of pipelines[J].Oil & Gas Storage and Transportation,2007,26(7):11-14,29.

[2]李炜，朱芸.长输管线泄漏检测与定位方法分析[J].天然气工业,2005,25(6):105-109.

Li Wei,Zhu Yun.Analysis on leakage detection and location techniques for long transmission pipeline[J].Natural Gas Industry，2005，25(6):105-109.

[3]Andrew F C,Pedro L,Bryan W K.A selective literature review of transient-based leak detection methods[J].Journal of Hydro-environment Research,2009,4(2): 212-227.

[4]王立宁，李健，靳世久.热输原油管道瞬态压力波法泄漏点定位研究[J].石油学报,2000,21(4):93-96.

Wang Lining,Li Jian,Jin Shijiu.Pressure wave leak point instantaneous location of crude oil heating transport pipeline[J].Acta Petrolei Sinica,2000,21(4):93-96.

[5]张东领，王树青，张敏.热输油管道泄漏定位技术研究[J].石油学报,2007,28(1):131-133,138.

Zhang Dongling,Wang Shuqing,Zhang Min.Leakage orientation technique for oil pipelines based on pressure wave[J].Acta Petrolei Sinica,2007,28(1):131-133,138.

[6]夏海波，张来斌，王朝晖，等.小波分析在管道泄漏信号识别中的作用[J].中国石油大学学报：自然科学版,2003,27(2):78-80.

Xia Haibo,Zhang Laibin,Wang Zhaohui,et al.Application of wavelet transform to signal detection of pipeline leakage[J].Journal of the Petroleum University of China：Edition of Natural Science,2003,27(2):78-80.

[7]崔谦，靳世久，王力坤，等.基于序贯检验的管道泄漏检测方法[J].石油学报,2005,26(4):123-126.

Cui Qian,Jin Shijiu,Wang Likun,et al.Detection method for pipeline leakage based on sequential probability ration test[J].Acta Petrolei Sinica,2005,26(4):123-126.

[8]Ge Chuanhu,Wang Guizeng,Ye Hao.Analysis of the smallest detectable leakage flow rate of negative pressure wave-based leak detection systems for liquid pipelines[J].Computers and Chemical Engineering,2008,32（8）：1669-1680.

[9]Finnemore E J,Franzini J B.Fluid mechanics with engineering applications[M].10th ed.New York：McGraw-Hill，2003：1013-1018.

[10]姚光镇.输气管道设计与管理[M].东营：中国石油大学出版社,2006：173-185.

Yao Guangzhen.The design and management of gas transmission line[M].Dongying：China University of Petroleum Press, 2006：173-185.

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负压波法在液体管道上的可检测泄漏率分析

Analysis on detectable leakage ratio of liquid pipeline by negative pressure wave method

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