Volume 45 Issue 6
Dec.  2017
Turn off MathJax
Article Contents
Abstract
References
Related Articles
WANG Enying, LIU Shanqing, GAO Rongbin, LIU Zhanjun. Transient electromagnetic exploration-based experiment on the relationship between the level of gas content and apparent resistivity in high rank coal seam[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(6): 149-153,158. DOI: 10.3969/j.issn.1001-1986.2017.06.024
Citation: WANG Enying, LIU Shanqing, GAO Rongbin, LIU Zhanjun. Transient electromagnetic exploration-based experiment on the relationship between the level of gas content and apparent resistivity in high rank coal seam[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(6): 149-153,158. DOI: 10.3969/j.issn.1001-1986.2017.06.024
shu

Transient electromagnetic exploration-based experiment on the relationship between the level of gas content and apparent resistivity in high rank coal seam

  • 1. School of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China;

  • 2. Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region, Henan Province, Jiaozuo 454003, China;

  • 3. Xin'an Mine of Yima Coal Group Co. Ltd., Xin'an 471842, China

Funds: 

The Natural Science Foundation of China(41372161)

More Information
  • Received Date: June 14, 2016
  • Published Date: December 24, 2017
    Graphical Abstract
    • Abstract
  • In order to master the distribution law of the coal seam gas and reveal the relationship between gas content and apparent resistivity, the experiment combined the laboratory research on coal sample and resistivity and used transient electromagnetic method to study the correlation between apparent resistivity and gas content of coal seam, it has been detected for 18 times and 21 sets of the effective data were obtained. The research shows that there is a negative correlation between apparent resistivity and gas content of coal seam, when the gas content increased by 1 m3/t, the apparent resistivity decreased by 6.6% to 20%, the determination coefficient was between 0.621 9 and 0.753 1 at the same time, it shows that the apparent resistivity of coal seams has a high degree of explanation to the coal seam gas content, the method can be used to detect the content and the distribution of coal seam gas with the similar geological condition.
    • FullText(HTML)
    • References (20)
  • [1]
    韩德品,郭林生,赵利利,等. 瞬变电磁法快速探查煤矿突水构造关键技术及应用效果[J]. 煤田地质与勘探,2014,42(6):97-100.

    HAN Depin,GUO Linsheng,ZHAO Lili,et al. The key technology and application effects of transient electromagnetic method for rapid delecting water inrush structure in coal mine[J]. Coal Geology & Exploration,2014,42(6):97-100.
    [2]
    吕绍林,何继善. 瓦斯突出煤体的导电性质研究[J]. 中南工业大学学报,1998,29(6):510-514.

    LYU Shaolin,HE Jishan. Study on electrical conductivity of gas outburst coal[J]. Journal of Central South University of Technology(Natural Science),1998,29(6):510-514.
    [3]
    黄学满,康建宁. 瓦斯气体电性参数的初步研究[J]. 矿业安全与环保,2005,32(5):1-3.

    HUANG Xueman,KANG Jianning. Preliminary study of electric parameters of gas[J]. Mining Safety & Environmental Protection,2005,32(5):1-3.
    [4]
    陈鹏. 煤与瓦斯突出区域危险性的直流电法响应及应用研究[D]. 北京:中国矿业大学,2013.
    [5]
    康建宁,黄学满. 煤的电性参数与瓦斯突出危险性之间关系研究[J]. 煤炭科学技术,2005,33(1):56-59.

    KANG Jianning,HUANG Xueman. Study on relationship between coal electric parameter and gas outburst danger[J]. Coal Science and Technology,2005,33(1):56-59.
    [6]
    王云刚,杨耸,魏建平. 焦作矿区含瓦斯煤体电阻率变化规律研究[J]. 河南理工大学学报(自然科学版),2014,31(4):373-376.

    WANG Yungang,YANG Song,WEI Jianping. Study on the variation rules of electrical resistivity on being loaded gas field coal[J]. Journal of Henan Polytechnic University(Natural Science),2014,31(4):373-376.
    [7]
    杨耸. 受载含瓦斯煤体电性参数的实验研究[D]. 焦作:河南理工大学,2012.
    [8]
    徐胜平,王轩,云晓鸣,等. 利用煤田测井参数解释煤岩层储气特征[J]. 煤田地质与勘探,2015,43(5):100-102.

    XU Shengping,WANG Xuan,YUN Xiaoming,et al. Exquisite interpretation on gas storage characteristic of coal and rock stratum by logging parameters of coal field[J]. Coal Geology & Exploration,2015,43(5):100-102.
    [9]
    B.B霍多特. 煤和瓦斯突出[M]. 宋世钊,王佑安,译. 北京:中国工业出版社,1966.
    [10]
    TATIANA S,IGOR G,ALEXEY B. Control of combustion area using electrical resistivity method for un-derground coalgasification[J]. International Journal of Mining Science and Technology, 2012,22(3):351-355.
    [11]
    王云刚,魏建平,刘明举. 构造软煤电性参数影响因素的分析[J]. 煤炭科学技术,2010,38(8):77-80.

    WANG Yungang,WEI Jianping,LIU Mingju. Analysis on factors affected to electromagnetic parameters of tectonic soft seam[J]. Coal Science and Technology,2010,38(8):77-80.
    [12]
    吕绍林,何继善,李舟波. 瓦斯突出地球物理场的响应特征[J]. 长春科技大学学报,2000,30(1):71-75.

    LYU Shaolin,HE Jishan,LI Zhoubo. Responses of geophysical field caused by coal and gas outbursts[J]. Journal of Chang chun University of Science and Technology,2000,30(1):71-75.
    [13]
    MARLAND S, MERCHANT A, ROWSON N. Dielectric properties of coal[J]. Fuel,2001,80:1839-1849.
    [14]
    WANG Yungang,WEI Jianping,YANG Song. Experimental research on electrical parameters variation of loaded coal[J]. Procedia Engineering,2011,26:890-897.
    [15]
    HASAN D,BAI Xiaohong,WILLIAM B K. Thermal and electrical property measurements for coal[J]. Fule,1989,68(2):185-192.
    [16]
    TIWARY S N,MUKHDEO. Measurement of electrical resistivity of coal samples[J]. Fule,1993,72(8):1099-1102.
    [17]
    乔磊. 基于煤储层特征的新安煤矿二1煤深部瓦斯涌出量预测模型构建[D]. 北京:中国地质大学(北京),2013.
    [18]
    简阔,张玉贵,赫少攀,等. 构造煤甲烷吸附表面能研究[J]. 煤田地质与勘探,2014,42(1):31-34.

    JIAN Kuo,ZHANG Yugui,HE Shaopan,et al. The surface energy of methane adsorption of tectonic coal[J]. Coal Geology & Exploration,2014,42(1):31-34.
    [19]
    王向浩,王延忠,刘坤,等. 煤层气吸附量动态变化模型研究[J]. 煤田地质与勘探,2015,43(5):39-43.

    WANG Xianghao,WANG Yanzhong,LIU Kun,et al. Adsorption dynamic model of coalbed methane[J]. Coal Geology & Exploration,2015,43(5):39-43.
    [20]
    刘永杰,李忠辉,宋大钊,等. 煤体吸附瓦斯过程表面电位特征实验研究[J]. 煤炭学报,2013,38(11):1977-1981.

    LIU Yongjie,LI Zhonghui,SONG Dazhao,et al. Experimentalresearch on surface potential induced by gas sorption process in coal[J]. Journal of China Coal Society,2013,38(11):1977-1981.
    • Related Articles

  • Related Articles

    [1]MA Bin, PENG Guangyu. Research on drill pipe pose recognition technology based on monocular vision[J]. COAL GEOLOGY & EXPLORATION, 2022, 50(10): 171-178. DOI: 10.12363/issn.1001-1986.22.01.0036
    [2]SUN Yuelong, CUI Hongqing, GUAN Jinfeng. Image recognition-based observation of macro fracture in coal seam in underground mine[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(5): 19-22. DOI: 10.3969/j.issn.1001-1986.2017.05.004
    [3]XIA Hongxin, QU Zhenghui, LU Chengang, XUE Zhiwen. Automatic recognition and information extraction of two-dimensional micro cracks in cataclastic coal[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(2): 75-79. DOI: 10.3969/j.issn.1001-1986.2017.02.013
    [4]WANG Jiangrong, HUANG Jianhua, LUO Ziqin, WEN Hui. Application of Logistic regression model based on rough set in recognition of mine water inrush pattern[J]. COAL GEOLOGY & EXPLORATION, 2015, 43(6): 70-74. DOI: 10.3969/j.issn.1001-1986.2015.06.014
    [5]ZHANG Chunlei, QIAN Jiazhong, ZHAO Weidong, MA Lei. The application of bayesian approach to discrimination of mine water-inrush source[J]. COAL GEOLOGY & EXPLORATION, 2010, 38(4): 34-37. DOI: 10.3969/j.issn.1001-1986.2010.04.008
    [6]PAN Jing, QIAN Jiazhong, MA Lei. The discrimination model based on the deviation weighing method of inrushed water sources in coal mine and its application[J]. COAL GEOLOGY & EXPLORATION, 2010, 38(1): 54-57. DOI: 10.3969/j.issn.1001-1986.2010.01.013
    [7]WANG Xiao-jing, CHEN Suo-zhong. Application of attribute recognition model based on coefficient of entropy to evaluation of groundwater sources quality[J]. COAL GEOLOGY & EXPLORATION, 2008, 36(3): 56-58.
    [8]FENG Li-jun, LI Jing-sheng, SHAO Gai-qun. The application of Adaline in recognition of mine water quality types[J]. COAL GEOLOGY & EXPLORATION, 2002, 30(4): 35-37.
    [9]Fang Zhijiang, Qu Zheng. APPLICATION OF BP NEURAL NETWORK IN ENVIRONMENTAL RECOGNITION MODEL[J]. COAL GEOLOGY & EXPLORATION, 2000, 28(2): 13-15.
    [10]Zheng Yongsheng, Wang Ying. THE RECOGNITION OF EFFECT MEASURE FOR HYDROGEOLOGIC DIVISIONS[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(2): 38-40.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views PDF downloads Cited by()
    Related

    Copyright of website design © Editorial Office of Coal Geology & Exploration 陕ICP备05001372号-6 陕公网安备 61019002002193号

    Address: Editorial Office of Coal Geology & Exploration, No.82 Jinye 1st Rd, High-Tech Zone, Xi'an City, Shaanxi, China

    Tel: 029-81778075 E-mail: ccrimtdzykt@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return