Characteristics and distribution laws of electric potential response to mining failure of deep coal seam

Authors

WANG Enyuan, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
LI Zhonghui, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaFollow
NIU Yue, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China; Frontier Scientific Research Center of Fluidized Mining of Deep Resources, China University of Mining and Technology, Xuzhou 221116, China
LIU Shengdong, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
SHEN Rongxi, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
LI Dexing, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
ZHANG Xin, Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China

Abstract

To study the response characteristics and laws on electric potential(EP) signal of the coal body in the mining failure process, a self-developed mine EP meter was utilized to conduct field tests in the No. 25050 fully mechanized mining face of Xuehu Coal Mine. The results show that the EP signals can be produced significantly during coal seam mining failure process, and the EP response characteristics can reveal the changes of stress state in coal body. As the working face advances, the EP intensity firstly increases and then decreases. The EP intensity decreases significantly after the construction of stress-relief drillings. Simultaneously, the spatial distribution characteristics of EP intensity can identify the zones with abnormal stress in coal seam. The distribution law of the EP intensity and the amount of drill cuttings are similar. When the "stuck" phenomenon occurs during drilling process, abnormal stress is observed in coal body, and the EP intensity reaches a peak value suddenly. The temporal EP signal has the characteristics of precursory response to the hazard of coal and rock dynamic disasters. When the gas indicator exceeds the limit or a large-energy coal cannon event occurs, the EP signal shows a leading increase trend and is accompanied by violent fluctuations. The study results are expected to provide a new idea and an application basis for the utilization of EP methods to monitor coal mining failure and early warning of coal and rock dynamic disasters.

Keywords

deep coal seam, mining failure, electric potential response, characteristic law, coal and rock dynamic disaster

DOI

10.3969/j.issn.1001-1986.2021.01.026

Recommended Citation

WANG Enyuan, LI Zhonghui, NIU Yue, et al. (2021) "Characteristics and distribution laws of electric potential response to mining failure of deep coal seam," Coal Geology & Exploration: Vol. 49: Iss. 1, Article 27.
DOI: 10.3969/j.issn.1001-1986.2021.01.026
Available at: https://cge.researchcommons.org/journal/vol49/iss1/27

Reference

[1] 谢和平. "深部岩体力学与开采理论"研究构想与预期成果展望[J]. 工程科学与技术,2017,49(2):1-16. XIE Heping. Research framework and anticipated results of deep rock mechanics and mining theory[J]. Advanced Engineering Sciences,2017,49(2):1-16.

[2] 刘斌,王明洋,宋春明,等. 深部岩体赋存力学状态物理模拟技术综述[J]. 防护工程,2015,37(3):72-78. LIU Bin,WANG Mingyang,SONG Chunming,et al. An overview on physical simulation technology of mechanical state of deep rock mass[J]. Protective Engineering,2015,37(3):72-78.

[3] 周世宁,林柏泉. 煤矿瓦斯动力灾害防治理论及控制技术[M]. 北京:科学出版社,2007. ZHOU Shining,LIN Baiquan. Coal mine gas dynamic disaster prevention theory and control technology[M]. Beijing:Science Press,2007.

[4] FRID V. Calculation of electromagnetic radiation criterion for rock burst hazard forecast in coal mines[J]. Pure and Applied Geophysics,2001,158(5):931-944.

[5] 袁亮,姜耀东,何学秋,等. 煤矿典型动力灾害风险精准判识及监控预警关键技术研究进展[J]. 煤炭学报,2018,43(2):306-318. YUAN Liang,JIANG Yaodong,HE Xueqiu,et al. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society,2018,43(2):306-318.

[6] BENNETT K C,BORJA R I. Hyper-elastoplastic/damage modeling of rock with application to porous limestone[J]. International Journal of Solids and Structures,2018,143:218-231.

[7] KOUAME K J A,JIANG Fuxing,ZHU Sitao. Research on cause of dynamic disaster of deep mining control in China and its further prevention application in Ivory Coast[J]. Geotechnical & Geological Engineering,2017,35(3):1141-1149.

[8] WANG Chaojie,YANG Shengqiang,YANG Dingding,et al. Experimental analysis of the intensity and evolution of coal and gas outbursts[J]. Fuel,2018,226:252-262.

[9] 王恩元,何学秋,李忠辉,等. 煤岩电磁辐射技术及其应用[M]. 北京:科学出版社,2009. WANG Enyuan,HE Xueqiu,LI Zhonghui,et al. Electromagnetic radiation technology of coal and rock and its application[M]. Beijing:Science Press,2009.

[10] 王恩元,李忠辉,刘贞堂,等. 受载煤体表面电位效应的实验研究[J]. 地球物理学报,2009,52(5):1318-1325. WANG Enyuan,LI Zhonghui,LIU Zhentang. Experimental study on surface potential effect of coal under load[J]. Chinese Journal of Geophysics,2009,52(5):1318-1325.

[11] ARCHER J W,DOBBS M R,AYDIN A,et al. Measurement and correlation of acoustic emissions and pressure stimulated voltages in rock using an electric potential sensor[J]. International Journal of Rock Mechanics and Mining Sciences,2016,89:26-33.

[12] CRESPY A,REVIL A,LINDE N,et al. Detection and localization of hydromechanical disturbances in a sandbox using the self-potential method[J]. Journal of Geophysical Research,2008,113:8-23.

[13] KUKSENKO V S,MAKHMUDOV K F, PONOMAREV A V. Relaxation of electric fields induced by mechanical loading in natural dielectrics[J]. Physics of the Solid State,1997,39(7):1065-1066.

[14] CARTWRIGHT-TAYLOR A,VALLIANATOS F,SAMMONDS P. Superstatistical view of stress-induced electric current fluctuations in rocks[J]. Physica A:Statistical Mechanics and its Applications,2014,414:368-377.

[15] 李忠辉,王恩元,何学秋. 煤岩破坏表面电位效应理论与机制研究[M]. 徐州:中国矿业大学出版社,2013. LI Zhonghui,WANG Enyuan,HE Xueqiu. Study on theory and mechanism of surface potential effect of coal and rock failure[M]. Xuzhou:China University of Mining and Technology Press,2013.

[16] NIU Yue,WANG Chaogie,WANG Enyuan,et al. Experimental study on the damage evolution of gas-bearing coal and its electric potential response[J]. Rock Mechanics and Rock Engineering,2019,52(11):4589-4604.

[17] 钮月. 含瓦斯煤损伤破坏电位响应时空演化规律研究[D]. 徐州:中国矿业大学,2020. NIU Yue. Study on temporal and spatial evolution law of electric potential response of damage and failure of gas-bearing coal[D]. Xuzhou:China University of Mining and Technology,2020.

[18] 潘一山,赵扬锋,李国臻. 冲击地压预测的电荷感应技术及其应用[J]. 岩石力学与工程学报,2012,31(增刊2):3988-3993. PAN Yishan,ZHAO Yangfeng,LI Guozhen. Charge-induced technique of rockburst prediction and its application[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(Sup.2):3988-3993.

[19] 刘晓斐,王恩元,何学秋,等. 回采工作面应力分布的电磁辐射规律[J]. 煤炭学报,2007,32(10):1019-1022. LIU Xiaofei,WANG Enyuan,HE Xueqiu,et al. Electrom agnetic radiation laws of the stress distribution in working face[J]. Journal of China Coal Society,2007,32(10):1019-1022.

[20] 杨科,谢广祥. 综放开采煤层应力分布规律的相似模拟研究[J]. 矿山压力与顶板管理,2004(2):26-27. YANG Ke,XIE Guangxiang. Similar simulation study on stress distribution law of coal seam in fully mechanized top coal caving mining[J]. Ground Pressure and Roof Management,2004(2):26-27.

[21] ZHANG Jianguo,ZHAI Cheng,ZHONG Chao,et al. Investigation of sealing mechanism and field application of upward borehole self-sealing technology using drill cuttings for safe mining[J]. Safety Science,2019,115:141-153.

[22] 韩佩博. 三维采动应力条件下煤层覆岩及底板裂隙场演化规律与瓦斯运移特征研究[D]. 重庆:重庆大学,2015. HAN Peibo. Fracture evolution law and gas migration characteristic of overburden and underlying strata in three dimensional mining-induced stress conditions[D]. Chongqing:Chongqing University,2015.

[23] 程远平,王海锋,周红星,等. 煤矿瓦斯防治理论与工程应用[M]. 徐州:中国矿业大学出版社,2010. CHENG Yuanping,WANG Haifeng,ZHOU Hongxing,et al. Coal mine gas control theory and engineering application[M]. Xuzhou:China University of Mining and Technology Press,2010.

[24] 孙学会,李铁. 深部矿井复合型煤岩瓦斯动力灾害防治理论与技术[M]. 北京:科学出版社,2011. SUN Xuehui,LI Tie. Prevention and control theory and technology of gas dynamic disaster of composite coal and rock in deep mine[M]. Beijing:Science Press,2011.

[25] AYDIN A,PRANCE R J,PRANCE H,et al. Observation of pressure stimulated voltages in rocks using an electric potential sensor[J]. Applied Physics Letters,2009,95(12):124102.