|本期目录/Table of Contents|

[1]张逸斌,张浪,张慧杰,等.基于稳态模型的井下抽采主管道泄漏检测方法研究*[J].中国安全生产科学技术,2020,16(9):64-70.[doi:10.11731/j.issn.1673-193x.2020.09.010]
 ZHANG Yibin,ZHANG Lang,ZHANG Huijie,et al.Research on leakage detection method of underground extraction main pipeline based on steadystate model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(9):64-70.[doi:10.11731/j.issn.1673-193x.2020.09.010]
点击复制

基于稳态模型的井下抽采主管道泄漏检测方法研究*
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年9期
页码:
64-70
栏目:
职业安全卫生管理与技术
出版日期:
2020-09-30

文章信息/Info

Title:
Research on leakage detection method of underground extraction main pipeline based on steadystate model
文章编号:
1673-193X(2020)-09-0064-07
作者:
张逸斌张浪张慧杰李伟刘彦青朱南南
(1.煤炭科学技术研究院有限公司 安全分院,北京 100013;
2.煤炭资源高效开采与洁净利用国家重点实验室,北京 100013)
Author(s):
ZHANG Yibin ZHANG Lang ZHANG Huijie LI Wei LIU Yanqing ZHU Nannan
(1.Mine Safety Technology Branch,China Coal Research Institute,Beijing 100013,China;
2.State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute),Beijing 100013,China)
关键词:
瓦斯抽采管道泄漏泄漏检测及定位定位精度压力梯度法
Keywords:
gas extraction pipeline leakage leakage detection and location locating accuracy pressure gradient method
分类号:
X936;TD712
DOI:
10.11731/j.issn.1673-193x.2020.09.010
文献标志码:
A
摘要:
为准确检测煤矿井下瓦斯抽采主管道泄漏位置,提出基于稳态模型的管道泄漏检测与定位方法,采用Comsol数值模拟及地面相似实验研究压力梯度法对煤矿井下抽采管道泄漏检测与定位的可行性及准确性。研究结果表明:管道未泄漏时,管内沿线压力呈均匀分布,当管道突发泄漏时,管内压力分布呈现明显弯折现象,弯折处即为管道漏点位置,并对管道阻力计算公式进行修正,提高了检测准确性;随着管道泄漏程度的加大,湍流效应显著增强,漏点处速度、压力产生明显突变,且当其他条件恒定时,随着管道泄漏孔径的扩大,管道的漏入量越大,定位的相对误差越小;在宏岩矿开展地面相似实验,实验结果绝对误差为4.5 m,相对误差为6%;在阳煤五矿井下8421抽采巷进行现场应用,绝对误差134 m,相对误差约7.95%。
Abstract:
In order to accurately detect the leakage location of gas extraction main pipeline in the underground coal mine,a method of pipeline leakage detection and location based on the steadystate model was proposed.The Comsol numerical simulation and the ground similar experiments were used to study the feasibility and accuracy of adopting the pressure gradient method to detect and locate the leakage of extraction pipeline in the underground coal mine.The results showed that when the pipeline was not leaking,the pressure along the pipeline distributed evenly.However,when the pipeline suddenly leaked,the pressure distribution inside the pipeline presented the obvious bending phenomenon,and the bending position was the pipeline leakage point.The calculation formula of the pipeline resistance was also modified to improve the detection accuracy.As the leakage degree of pipeline increased,the turbulence effect enhanced significantly,and the velocity and pressure at the leakage point changed sharply.When the other conditions were constant,the leakage amount of the pipeline became larger,while the relative error of locating became smaller with the expansion of the leakage aperture of the pipeline.In the ground similar experiments carried out in Hongyan mine,the absolute error of the experimental results was 4.5 m and the relative error was 6%.According to the field application in 8421 extraction roadway of Yangmei No.5 coal mine,the absolute error was 134 m and the relative error was about 7.95%.

参考文献/References:

[1]刘见中,孙海涛,雷毅,等.煤矿区煤层气开发利用新技术现状及发展趋势[J].煤炭学报,2020,45(1):258-267. LIU Jianzhong,SUN Haitao,LEI Yi,et al.Current situation and development trend of coalbed methane development and utilization technology in coal mine area[J].Journal of China Coal Society,2020,45(1):258-267.
[2]程志恒,卢云,李海涛,等.高位钻孔不同封孔方法质量检测及其优选[J].中国安全生产科学技术,2020,16(6):61-67. CHENG Zhiheng,LU Yun,LI Haitao,et al.Quality inspection and optimization of different sealing methods for high-level borehole[J].Journal of Safety Science and Technology,2020,16(6):61-67.
[3]王国法,杜毅博.煤矿智能化标准体系框架与建设思路[J].煤炭科学技术,2020,48(1):1-9. WANG Guofa,DU Yibo.Coal mine intelligent standard system framework and construction ideas[J].Coal Science and Technology,2020,48(1):1-9.
[4]舒畅,姚安林,徐涛龙,等.基于突变理论的采空塌陷区输气管道危险性评价研究[J].中国安全生产科学技术,2017,13(1):97-102. SHU Chang,YAO Anlin,XU Taolong,et al.Study on hazard assessment of natural gas pipeline in mining subsidence area based on catastrophe theory[J].Journal of Safety Science and Technology,2017,13(1):97-102.
[5]王云飞,梁伟,张来斌.多层融合的管道泄漏诊断技术研究[J].中国安全科学学报,2013,23(8):171-176. WANG Yunfei,LIANG Wei,ZHANG Laibin.Research on multi-layer data fusion-based technique for diagnosis of pipelines leakage[J].China Safety Science Journal,2013,23(8):171-176.
[6]张鹏,胡波,李虎,等.不同穿越角度对采空区埋地管道力学行为的影响[J].中国安全生产科学技术,2020,16(5):82-88. ZHANG Peng,HU Bo,LI Hu,et al.Influence of different crossing angles on mechanical behavior of buried pipeline in goaf[J]. Journal of Safety Science and Technology,2020,16(5):82-88.
[7]曹佐勇,何学秋,王恩元,等.新建突出煤矿“先抽后建”模式与实施路径[J].煤炭学报,2016,41(S2):425-433. CAO Zuoyong,HE Xueqiu,WANG Enyuan,et al.Model and implementation path of“pumping in advance and then construction”for a new coal and gas outburst mine[J].Journal of China Coal Society,2016,41(S2):425-433.
[8]靳世久,王立宁,李健.瞬态负压波结构模式识别法原油管道泄漏检测技术[J].电子测量与仪器学报,1998,12(1):59-64. JIN Shijiu,WANG Lining,LI Jian.Instantaneousnegative pressure wave pattern recognition method in leak detection of crude petroleum transported pipeline[J].Journal of Electronic Measurement and Instrument,1998,12(1):59-64.
[9]唐秀家,颜大椿.基于神经网络的管道泄漏检测方法及仪器[J].北京大学学报(自然科学版),1997,33(3):319-327. TANG Xiujia,YAN Dachun.Pipeline leak detection method and instrument based on neural networks[J].Acta Scientiarum Naturalium Universitatis Pekinensis,1997,33(3):319-327.
[10]佘小广,周厚权,杨利平.煤矿井下瓦斯抽采管网泄漏检测技术[J].煤矿安全,2013,44(10):75-77. SHE Xiaoguang,ZHOU Houquan,YANG Liping.Leak detection technology in underground gas extraction pipe network.[J].Safety in Coal Mines,2013,44(10):75-77.
[11]郭寿松.一种基于超声波检测的瓦斯抽采管道检漏技术[J].矿业安全与环保,2014,41(3):88-91. GUO Shousong.A leakage detection technology for gas drainage pipeline based on ultrasonic inspection[J].Mining Safety & Environmental Peotection,2014,41(3):88-91.
[12]雷柏伟,吴兵,李旭,等.基于压力测量的瓦斯抽采管路运行状态诊断方法研究[J].矿业安全与环保,2017,44(1):32-35. LEI Baiwei,WU Bing,LI Xu,et al.Research on diagnosis method for gas drainage pipeline network running state based on pressure measurement[J].Mining Safety & Environmental Peotection,2017,44(1):32-35.
[13]刘翠伟,李玉星,王武昌,等.输气管道声波法泄漏检测技术的理论与实验研究[J].声学学报,2013,38(3):373-381. LIU Cuiwei,LI Yuxing,WANG Wuchang,et al.Theoretical study and experimental study on leak detection for natural gas pipelines based on acoustic method[J].Acta Acustica,2013,38(3):373-381.
[14]韩宝坤,蒋相广,刘西洋,等.基于声波法的天然气管道泄漏检测与定位系统研究[J].山东科技大学学报(自然科学版),2018,37(4):102-110. HAN Baokun,JIANG Xiangguang,LIU Xiyang,et al.Natural gas pipeline leakage detection and location system based on acoustic wave method[J].Journal of Shandong University of Science and Technology(Natural Science),2018,37(4):102-110.
[15]许凌云,朱月敏,宋建英,等.基于Kalman滤波器的管道泄漏检测自动控制的研究[J].自动化与仪器仪表,2019,38(12):91-94. XU Lingyun,ZHU Yuemin,SONG Jianying,et al.Research on automatic control of pipeline leakage detection based on Kalman filter[J].Automation&Instrumentation,2019,38(12):91-94.

相似文献/References:

[1]郝永梅,邢志祥,邵辉,等.压力管道泄漏声发射源定位的实验研究[J].中国安全生产科学技术,2011,7(6):140.
 HAO Yong-mei,XING Zhi-xiang,SHAO Hui,et al.Experiment research on acoustic emission source location of leakage of pressure pipelines[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(9):140.
[2]姜二龙,刘健,蔡文鹏,等.深孔预裂爆破技术在低透气性回采工作面中的试验研究[J].中国安全生产科学技术,2013,9(7):20.[doi:10.11731/j.issn.1673-193x.2013.07.003]
 JIANG Er long,LIU Jian,CAI Wen peng,et al.Experiment study on deep hole pre-splitting blasting technology in low permeability outburst working face[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(9):20.[doi:10.11731/j.issn.1673-193x.2013.07.003]
[3]孙东生,刘健,蔡文鹏,等.高瓦斯低透气性煤层水力压裂技术的试验研究[J].中国安全生产科学技术,2013,9(9):49.[doi:10.11731/j.issn.1673-193x.2013.09.009]
 SUN Dong sheng,LIU Jian,CAI Wen peng,et al.Experimental study on hydraulic fracturing technology in high gas and low permeability coal seam[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(9):49.[doi:10.11731/j.issn.1673-193x.2013.09.009]
[4]李英明,杨明东,付永刚.U型工作面上隅角埋管瓦斯抽采数值模拟研究[J].中国安全生产科学技术,2013,9(12):16.[doi:10.11731/j.issn.1673-193x.2013.12.002]
 LI Ying-ming,YANG Ming-dong,FU Yong-gang.Numerical simulation on gas drainage with buried pipe in upper corner of U\|type working face[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(9):16.[doi:10.11731/j.issn.1673-193x.2013.12.002]
[5]蔡文鹏,刘健,孙东生,等.顶板走向高位钻孔瓦斯抽采技术的研究及应用[J].中国安全生产科学技术,2013,9(12):35.[doi:10.11731/j.issn.1673-193x.2013.12.005]
 CAI Wen peng,LIU Jian,SUN Dong sheng,et al.Research and application of gas drainage technique with highlocated drilling method along roof strike[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(9):35.[doi:10.11731/j.issn.1673-193x.2013.12.005]
[6]孙晓梅,吕品,刘琛琛,等.基于CFD及正交试验的工作面流场参数优化[J].中国安全生产科学技术,2014,10(4):54.[doi:10.11731/j.issn.1673-193x.2014.04.009]
 SUN Xiao mei,LV Pin,LIU Chen chen,et al.Optimization of flow field parameters in working face based on orthogonal experiment and CFD[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):54.[doi:10.11731/j.issn.1673-193x.2014.04.009]
[7]吴爱军,王巧莉.薛湖矿二2煤顺层钻孔瓦斯抽放的数值模拟与分析[J].中国安全生产科学技术,2014,10(6):90.[doi:10.11731/j.issn.1673-193x.2014.06.014]
 WU Ai jun,WANG Qiao li.Numerical simulation and analysis on gas extraction with bedding drillings in the 22 coal seam of Xuehu Mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):90.[doi:10.11731/j.issn.1673-193x.2014.06.014]
[8]杨明,闫潮,刘亚军.斜交高位钻孔抽采空区瓦斯设计及优化研究[J].中国安全生产科学技术,2014,10(7):117.[doi:10.11731/j.issn.1673-193x.2014.07.021]
 YANG Ming,YAN Chao,LIU Ya jun.Research and optimization of gas extraction in gob by skew high level boreholes[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):117.[doi:10.11731/j.issn.1673-193x.2014.07.021]
[9]戎立帆,柏发松,车志飞.下向穿层瓦斯抽采钻孔新型封孔方法及应用[J].中国安全生产科学技术,2014,10(8):64.[doi:10.11731/j.issn.1673-193x.2014.08.011]
 RONG Li-fan,BAI Fa-song,et al.New hole sealing method and application for gas extraction by downward cross-layer drilling[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):64.[doi:10.11731/j.issn.1673-193x.2014.08.011]
[10]徐雪战,孟祥瑞,赵光明,等.基于三维可视化的卸压区瓦斯穿层抽采仿真研究[J].中国安全生产科学技术,2014,10(9):77.[doi:10.11731/j.issn.1673-193x.2014.09.013]
 XU Xue-zhan,MENG Xiang-rui,ZHAO Guang-ming,et al.Virtual simulation of gas drainage drilling through layers in stress-relaxation zone based on three-dimensional visualization[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):77.[doi:10.11731/j.issn.1673-193x.2014.09.013]

备注/Memo

备注/Memo:
收稿日期: 2020-07-22
* 基金项目: 国家科技重大专项项目(2016ZX05067-004,2016ZX05067-001);中国煤炭科工集团科技创新基金项目(2018-TD-ZD002)
作者简介: 张逸斌,硕士,研究实习员,主要研究方向为煤矿瓦斯灾害防治与安全监测预警。
更新日期/Last Update: 2020-10-08