Volume 48 Issue 5
May  2022
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Article Navigation >  Journal of Mine Automation  > 2022  >  48(5): 32-38
LI Jie, LEI Zhipeng, LI Linbo, et al. Measurement method of borehole wall resistivity for coal mine gas extraction[J]. Journal of Mine Automation，2022，48(5)：32-38.  doi: 10.13272/j.issn.1671-251x.2022010025
Citation: LI Jie, LEI Zhipeng, LI Linbo, et al. Measurement method of borehole wall resistivity for coal mine gas extraction[J]. Journal of Mine Automation，2022，48(5)：32-38.  doi: 10.13272/j.issn.1671-251x.2022010025
shu

Measurement method of borehole wall resistivity for coal mine gas extraction

doi: 10.13272/j.issn.1671-251x.2022010025
  • 1.

    National and Provincial Joint Engineering Laboratory of Mining Intelligent Electrical Apparatus Technology, Taiyuan University of Technology, Taiyuan 030024, China

  • 2.

    Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control, Taiyuan University of Technology, Taiyuan 030024, China

  • 3.

    Shanxi Jinding Gaobao Drilling Co., Ltd., Jincheng 048000, China

  • Received Date: 2022-01-15
  • Rev Recd Date: 2022-04-30
    • Available Online: 2022-03-15
    Abstract
  • For borehole wall state detection of horizontal directional kilometer drilling rig used for coal mine gas extraction, it is considered through analysis that the commonly used logging technologies such as gamma ray method and ultrasonic method are difficult to be applied to coal mine environment. Therefore, a seven-electrode radial resistivity measurement method is designed to measure the resistivity of borehole wall of gas extraction borehole and realize the detection of borehole wall state. The principle of seven-electrode radial resistivity measurement method is introduced. The formula of resistivity calculation is deduced. And the effects of three parameters, namely, the distance between shielding electrodes, the center distance between measuring electrodes and electrode distribution ratio, on resistivity measurement are analyzed. A three-dimensional simulation model and a two-dimensional axisymmetric simulation model are established. The models are used to study the current focusing and potential distribution around the measuring electrode under different transmit signal types and electrode distribution parameters. The results show that the penetration capability of DC and pulse signals is weak. DC and pulse signals cannot penetrate the borehole wall and cannot realize the measurement of borehole wall resistivity. The AC signal has better penetration capability and can be used for the measurement of borehole wall resistivity. The electrode distribution ratio has a significant effect on the current focusing effect. When the electrode distribution ratio is 2.5-3, the focusing effect of the emitter current is better, and a better resistivity measurement effect can be obtained. According to the above results, the transmit signal types and electrode distribution parameters are determined. The focus of emission current and potential distribution are simulated and analyzed when air, mud, rock stratum and coal seam are used as media. The results show that the seven-electrode resistivity measurement method has strong capability to distinguish the properties of the media around the electrodes. According to the simulation results, the experimental electrode is made and installed on a drill pipe to measure the resistivity of soil, air and coal particles respectively. The measured values are all within the standard reference value range. It is verified that the seven-electrode radial resistivity measurement method can realize the borehole wall resistivity measurement. This study provides an effective method for the borehole wall state detection of horizontal directional kilometer drilling rig for coal mine gas extraction.

     

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    • References(14)
  • [1]
    宁德义. 我国煤矿瓦斯防治技术的研究进展及发展方向[J]. 煤矿安全,2016,47(2):161-165.

    NING Deyi. Research progress and development direction of coal mine gas control technology in China[J]. Safety in Coal Mines,2016,47(2):161-165.
    [2]
    石智军,姚克,田宏亮,等. 煤矿井下随钻测量定向钻进技术与装备现状及展望[J]. 煤炭科学技术,2019,47(5):22-28.

    SHI Zhijun,YAO Ke,TIAN Hongliang,et al. Current situation and prospect of directional drilling technology and equipment while drilling in coal mine[J]. Coal Science and Technology,2019,47(5):22-28.
    [3]
    王国法,范京道,徐亚军,等. 煤炭智能化开采关键技术创新进展与展望[J]. 工矿自动化,2018,44(2):5-12.

    WANG Guofa,FAN Jingdao,XU Yajun,et al. Progress and prospect of key technology innovation in intelligent coal mining[J]. Industry and Mine Automation,2018,44(2):5-12.
    [4]
    王清峰,陈航. 瓦斯抽采智能化钻探技术及装备的发展与展望[J]. 工矿自动化,2018,44(11):18-24.

    WANG Qingfeng,CHEN Hang. Development and prospect of intelligent drilling technology and equipment for gas extraction[J]. Industry and Mine Automation,2018,44(11):18-24.
    [5]
    张海波,窦修荣,王志国,等. 国外随钻成像技术研究进展及展望[J]. 国外测井技术,2019,40(5):28-32.

    ZHANG Haibo,DOU Xiurong,WANG Zhiguo,et al. Research progress and prospect of foreign imaging while drilling technology[J]. World Well Logging Technology,2019,40(5):28-32.
    [6]
    许玛丽. 国内外随钻测量技术现状与展望[J]. 化工管理,2019(17):109-110. doi: 10.3969/j.issn.1008-4800.2019.17.069

    XU Mali. Current situation and prospect of MWD technology at home and abroad[J]. Chemical Industry Management,2019(17):109-110. doi: 10.3969/j.issn.1008-4800.2019.17.069
    [7]
    郑奕挺,方方,吴金平,等. 近钻头随钻伽马成像系统研制及应用[J]. 东北石油大学学报,2020,44(3):70-76,126. doi: 10.3969/j.issn.2095-4107.2020.03.007

    ZHENG Yiting,FANG Fang,WU Jinping,et al. Development and application of near-bit Gamma imaging system[J]. Journal of Northeast Petroleum University,2020,44(3):70-76,126. doi: 10.3969/j.issn.2095-4107.2020.03.007
    [8]
    路保平,倪卫宁. 高精度随钻成像测井关键技术[J]. 石油钻探技术,2019,47(3):148-155. doi: 10.11911/syztjs.2019060

    LU Baoping,NI Weining. High precision imaging logging while drilling key technology[J]. Journal of Drilling Technology,2019,47(3):148-155. doi: 10.11911/syztjs.2019060
    [9]
    王秀明. 随钻声波测井理论与方法研究[C]//全国检测声学会议论文集, 北京, 2014: 2.

    WANG Xiuming. Research on theory and method of acoustic logging while drilling[C]//Proceedings of National Conference on Acoustic Detection, Beijing, 2014: 2.
    [10]
    唐宇. 新型随钻超声井径仪[J]. 测井技术,2015,39(5):580.

    TANG Yu. A new type of ultrasonic caliper while drilling[J]. Well Logging Technology,2015,39(5):580.
    [11]
    倪卫宁,张晓彬,万勇,等. 随钻方位电磁波电阻率测井仪分段组合线圈系设计[J]. 石油钻探技术,2017,45(2):115-120.

    NI Weining,ZHANG Xiaobin,WAN Yong,et al. While drilling azimuth of electromagnetic wave resistivity logging tool piecewise combination coil system design[J]. Journal of Drilling Technology,2017,45(2):115-120.
    [12]
    张鹏. 石油钻井工具的检测与应用[J]. 中国石油和化工标准与质量,2021,41(4):67-69. doi: 10.3969/j.issn.1673-4076.2021.04.024

    ZHANG Peng. Measurement of apparent resistivity of coal stratification with different coal structure types[J]. China Petroleum and Chemical Industry Standards and Quality,2021,41(4):67-69. doi: 10.3969/j.issn.1673-4076.2021.04.024
    [13]
    王小龙,冯宏,李萍,等. 矿井电阻率超前探测正演模拟[J]. 煤炭科学技术,2011,39(11):112-117.

    WANG Xiaolong,FENG Hong,LI Ping,et al. Forward simulation of mine resistivity advance detection[J]. Coal Science and Technology,2011,39(11):112-117.
    [14]
    许昭勇,宋大钊,王恩元,等. 含水量对煤岩电阻率特征的影响[J]. 工矿自动化,2015,41(8):72-76.

    XU Zhaoyong,SONG Dazhao,WANG Enyuan,et al. Effect of water content on resistivity characteristics of coal and rock[J]. Industry and Mine Automation,2015,41(8):72-76.
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