Coal Geology & Exploration


The filling expansion mechanism and control measures of high concentration slurry in goaf is one of the difficult problems to be solved in the filling treatment of cavity goaf. Based on this, combined with the high concentration slurry transportation and rheological theory, a high concentration slurry filling process model was constructed to reveal its expansion mechanism, the dynamic and resistance calculation methods of filling expansion process were studied, the main influencing factors and control methods of filling accumulation body morphology were determined, and the theoretical results were verified by outdoor filling test.The results show that the the relative error between the calculated value and the experimental value of high concentration slurry filling resistance is about 5%; the rheological parameters yield stress and viscosity of slurry are directly proportional to the pipeline transportation resistance; the strength growth trend of slurry accumulation body is affected by the setting characteristics, and the resistance of slurry flowing between the accumulation body and the roof increases during the condensation process; when the filling material and flow rate remain unchanged, the resistance along the pipeline transportation is mainly affected by The results show that the local resistance is related to the pipe diameter, elbow, diameter change form and quantity, and the more the number, the greater the local resistance; the slurry property, filling path and grouting technology are the main factors affecting the shape of filling accumulation body. Shortening the filling distance, reducing the number of pipe diameter and elbow, reducing the yield stress and viscosity of slurry, and increasing the grouting flow and pressure are helpful The results provide a basis for the controlled filling of high concentration slurry in cavity goaf.


cavity type, goaf, high concentration slurry, extension mechanism, influence factors, control measures




[1] 宋晓夏,唐跃刚,李伟,等. 基于显微CT的构造煤渗流孔精细表征[J]. 煤炭学报,2013,38(3):435-440. SONG Xiaoxia,TANG Yuegang,LI Wei,et al. Advanced characterization of seepage pores in deformed coals based on micro-CT[J]. Journal of China Coal Society,2013,38(3):435-440

[2] 许江,袁梅,李波波,等. 煤的变质程度、孔隙特征与渗透率关系的试验研究[J]. 岩石力学与工程学报,2012,31(4):681-687. XU Jiang,YUAN Mei,LI Bobo,et al. Experimental study of relationships between metamorphic grade,pore characteristics and permeability of coal[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(4):681-687

[3] 张驰,高新宇,王森,等. 煤层裂隙发育方向对瓦斯抽采效果影响的实验研究与应用[J]. 煤炭工程,2020,52(2):96-100. ZHANG Chi,GAO Xinyu,WANG Sen,et al. Experimental study and application of the influence of fracture development direction of coal seam on gas extraction effect[J]. Coal Engineering,2020,52(2):96-100.

[4] 钟志彬,邓荣贵,孙怡,等. 流纹岩天然裂隙网络几何特征分析[J]. 岩石力学与工程学报,2017,36(1):167-174. ZHONG Zhibin,DENG Ronggui,SUN Yi,et al. Geometric characterization of natural crack network in rhyolite[J]. Chinese Journal of Rock Mechanics and Engineering,2017,4(1):167-174.

[5] 刘德旺,刘洋,赵春虎,等. 泥岩全破坏过程中渗透特性试验研究[J]. 西安科技大学学报,2015,35(1):78-82. LIU Dewang,LIU Yang,ZHAO Chunhu. Experimental study on the characteristics of permeability in the all failure process of mudstone[J]. Journal of Xi'an University of Science and Technology,2015,35(1):78-82.

[6] 陈彦君,苏雪峰,王钧剑,等. 基于X射线微米CT扫描技术的煤岩孔裂隙多尺度精细表征:以沁水盆地南部马必东区块为例[J]. 油气地质与采收率,2019,26(5):66-72. CHEN Yanjun,SU Xuefeng,WANG Junjian,et al. Multi-scale fine characterization of coal pore-fracture structure based on X-ray micro-CT scanning:A case study of Mabidong Block,southern Qinshui Basin[J]. Petroleum Geology and Recovery Efficiency,2019,26(5):66-72.

[7] 何凯凯. 基于CT表征煤中多尺度孔裂隙发育特征[D]. 焦作:河南理工大学,2018. HE Kaikai. Characterization of multiscale pores and fissures in coal based on CT scan[D]. Jiaozuo:Henan university of science and technology,2018.

[8] 倪绍虎,何世海,汪小刚,等. 裂隙岩体渗流的优势水力路径[J]. 四川大学学报(工程科学版),2012,44(6):108-115. NI Shaohu,HE Shihai,WANG Xiaogang,et al. Preferential flow pathways in fractured rock mass[J]. Journal of Sichuan university(Engineering Science Edition),2012,44(6):108-115.

[9] 胡少斌. 多尺度裂隙煤体气固耦合行为及机制研究[D]. 徐州:中国矿业大学,2015. HU Shaobin. Study on gas-solid coupling behavior and mechanism of multi-scale fracture coal[D]. Xuzhou:China University of Mining and Technology,2015.

[10] 王登科,魏强,魏建平,等. 煤的裂隙结构分形特征与分形渗流模型研究[J]. 中国矿业大学学报,2020,49(1):103-10. WANG Dengke,WEI Qiang, WEI Jianping,et al. The fractal characteristics of fissure structure of coal and the fractal permeability model research[J]. Journal of China University of Mining & Technology,2020,49(1):103-109.

[11] 王登科,曾凡超,王建国,等. 显微工业CT的受载煤样裂隙动态演化特征与分形规律研究[J/OL]. 岩石力学与工程学报:1-10[2020-05-06]. WANG Dengke,ZENG Fanchao,WANG Jianguo,et al. Fractal characteristics of fracture structure and fractal seepage model of coal[J/OL]. Chinese Journal of Rock Mechanics and Engineering:1-10[2020-05-06].

[12] 王鹏宇. 基于格子Boltzmann方法岩体微裂隙渗流特性研究[D]. 昆明:昆明理工大学,2019. WANG Pengyu. Study on seepage characteristics of micro-fracture in rock mass based on lattice Boltzmann method[D]. Kunming:Kunming university of science and technology,2019.

[13] 程志恒,苏士龙,汪昕. 近距离煤层采动裂隙场BBM-DEM模拟研究[J]. 煤炭科学技术,2019,47(12):1-9. CHENG Zhiheng,SU Shilong,WANG Xin. Study on mining-induced fracture field of contiguous coal seam with BBM-DEM simulation[J]. Journal of coal science and technology,2019,47(12):1-9.

[14] 张钦刚. 煤岩粗糙裂隙结构渗流性质的实验与LBM模拟研究[D]. 北京:中国矿业大学(北京),2016. ZHANG Qingang. LBM-based numerical study and experimental investigation on the permeation behavior in fractured coal rock[D]. China University of Mining & Technology(Beijing),2016.

[15] 刘永茜. 煤体瓦斯运移的容阻效应分析[J]. 煤矿安全,2019,50(7):5-9. LIU Yongqian. Capacitive resistance effect analysis of gas migration in coal[J]. Safety in Coal Mines,2019,50(7):5-9.

[16] 李娜,任理. 连续时间随机游动理论模拟多孔介质中溶质运移的研究进展[J]. 水科学进展,2012,23(6):881-886. LI Na,REN Li. Continuous time random walk theory research progress of solute transport in porous media[J]. Advances in Water Science,2012,23(6):881-886.

[17] 付裕,陈新,冯中亮. 基于CT扫描的煤岩裂隙特征及其对破坏形态的影响[J]. 煤炭学报,2020,45(2):568-578. FU Yu,CHEN Xin,FENG Zhongliang. Characteristics of coal-rock fractures based on CT scanning and its influence on failure modes[J]. Journal of China Coal Society,2020,(2):568-578.

[18] 孙月龙,崔洪庆,关金锋.基于图像识别的煤层井下宏观裂隙观测[J]. 煤田地质与勘探,2017,45(5):19-22. 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.

[19] 马天然,刘卫群,陈兴. 基于图像识别的裂隙煤层气非Darcy渗流模拟[J]. 力学季刊,2013,34(3):494-500. MA Tianran,LIU Weiqun,CHEN Xing. Simulation of non-darcy gas flow in image-recognized real coal-bed fractures[J]. Chinese Quarterly of Mechanics,2013,34(3):494-500.

[20] 刘勇,崔洪庆. 基于裂隙形态特征的煤层图像裂隙识别研究[J]. 工矿自动化,2017,43(10):59-64. LIU Yong,CUI Hongqing. Research on coal-bed image fractures identification based on fracture shape characteristics[J]. Industrial and Mining Automation,2017,43(10):59-64.

[21] 房新亮,潘东.不同钻孔抽采参数下瓦斯运移规律研究[J]. 能源与环保,2019,41(11):43-46. FANG Xinliang,PAN Dong. Study on gas migration law under different borehole extraction parameters[J]. China Energy and Environmental Protection,2019,41(11):43-46.

[22] 盛金昌,刘继山,赵坚. 基于图像数字化技术的裂隙岩体非稳态渗流分析[J]. 岩石力学与工程学报,2006(7):1402-1407. SHENG Jinchang,LIU Jishan,ZHAO Jian. Analysis of transient fluid flow in fractured rock masses with digital image-based method[J]. Chinese Journal of Rock Mechanics and Engineering,2006(7):1402-1407.

[23] 王录合,赵春孝,姜振泉,等. 基于数字图像及数值模拟的裂隙岩体渗透特征[J]. 煤田地质与勘探,2016,44(1):100-102. WANG Luhe,ZHAO Chunxiao,JIANG Zhenquan,et al. Permeability characteristics of fractured rock based on digital image and numerical simulation[J]. Coal Geology & Exploration,2016,44(1):100-102.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.