| Citation: |
ZHANG Kun，WANG Ke，REN Jianxi，et al. Analyzing in-situ stress response characteristics of coals based on optimized measurement-while-drilling parameters[J]. Coal Geology & Exploration，2025，53(2)：213−222. DOI: 10.12363/issn.1001-1986.24.09.0598
|
The spatial distribution of stress in coals in underground coal mines is a significant factor influencing the safe production of mines and the optimization of mining processes. The quantitative, advanced prediction of in-situ stress in coals is significant for the precise regulation of the underground stress field and the classification of areas with rock burst risks.
Using the self-developed monitoring-while-drilling system, this study conducted indoor coal drilling experiments under different drilling conditions and explored the laws of effects of drilling conditions on drilling parameters (e.g., torque and drilling displacement) under varying stresses. Furthermore, this study developed a method for determining coal stress based on drilling parameters and verified this method through the in-situ engineering application in an underground coal mine.
The results indicate that the monitoring-while-drilling system could monitor the drilling parameters in real time in the presence of disturbance to the drilling process. In the drilling process, the drilling rate negatively correlated with the weight on bit (WOB) but positively correlated with the torque. The functional relationship between the drilling indices and the stress in coals exhibited a high goodness of fit (R2 = 0.92). The in-situ engineering application revealed that the differences between the stress in coals predicted based on drilling parameters and the actual stress were less than 10%, suggesting relatively high consistency. This study demonstrates that it is reliable to determine the stress in coals based on drilling parameters and also provides a scientific reference for the development of in-situ digital drilling technology for determining stress in coals.
| [1] |
齐庆新,马世志,孙希奎,等. 煤矿冲击地压源头防治理论与技术架构[J]. 煤炭学报,2023,48(5):1861−1874.
QI Qingxin,MA Shizhi,SUN Xikui,et al. Theory and technical framework of coal mine rock burst origin prevention[J]. Journal of China Coal Society,2023,48(5):1861−1874.
|
| [2] |
袁亮. 深部采动响应与灾害防控研究进展[J]. 煤炭学报,2021,46(3):716−725.
YUAN Liang. Research progress of mining response and disaster prevention and control in deep coal mines[J]. Journal of China Coal Society,2021,46(3):716−725.
|
| [3] |
张凯,刘光伟,赵志刚,等. 煤体应力监测模拟试验设备研制与 应用[J]. 矿业安全与环保,2023,50(2):71−76.
ZHANG Kai,LIU Guangwei,ZHAO Zhigang,et al. Development and application of simulation experimental equipment for coal stress measurement while drilling[J]. Mining Safety & Environmental Protection,2023,50(2):71−76.
|
| [4] |
刘国磊,王泽东,张修峰,等. 基于围岩应力差异梯度控制的深部煤巷防冲机制与技术[J/OL]. 煤炭学报,2024:1–15 [2024-05-26]. https://doi.org/10.13225/j.cnki.jccs.2023.1769
LIU Guolei,WANG Zedong,ZHANG Xiufeng,et al. Mechanism and technology of rock burst prevention in deep coal tunnel based on controlling surrounding rock stress difference gradient[J/OL]. Journal of China Coal Society,2024:1–15 [2024-05-26]. https://doi.org/10.13225/j.cnki.jccs.2023.1769.
|
| [5] |
郭德勇,揣筱升,张铁岗,等. 首山一矿深部地应力分布规律及影响因素[J]. 煤炭学报,2024,49(5):2360−2375.
GUO Deyong,CHUAI Xiaosheng,ZHANG Tiegang,et al. Distribution pattern and influencing factors of in–situ stress for deep levels in Shoushan No.1 Coal Mine[J]. Journal of China Coal Society,2024,49(5):2360−2375.
|
| [6] |
朱明德,王照亚,张月征,等. 基于水压致裂法的三山岛深竖井工程区地应力测量与反演分析[J]. 地质力学学报,2023,29(3):430−441.
ZHU Mingde,WANG Zhaoya,ZHANG Yuezheng,et al. In–situ stress measurement and inversion analysis of the deep shaft project area in Sanshan Island based on hydraulic fracturing method[J]. Journal of Geomechanics,2023,29(3):430−441.
|
| [7] |
吴基文,张文永,彭华,等. 淮南煤田潘集煤矿外围勘查区水压致裂地应力测量研究[J]. 工程地质学报,2021,29(4):972−984.
WU Jiwen,ZHANG Wenyong,PENG Hua,et al. In–situ stress measurement by hydraulic fracturing method around Panji Coal Mine exploration area in Huainan Coalfield[J]. Journal of Engineering Geology,2021,29(4):972−984.
|
| [8] |
肖同强,支光辉,张治高. 深部构造区域地应力分布与巷道稳 定关系研究[J]. 采矿与安全工程学报,2013,30(5):659−664.
XIAO Tongqiang,ZHI Guanghui,ZHANG Zhigao. Relationship between ground stress distribution and roadway stability in deep tectonic region[J]. Journal of Mining & Safety Engineering,2013,30(5):659−664.
|
| [9] |
王炯,姜健,张正俊,等. 星村矿深部采区地应力分布特征及与地质构造关系研究[J]. 采矿与安全工程学报,2019,36(6):1240−1246.
WANG Jiong,JIANG Jian,ZHANG Zhengjun,et al. In–situ stress distribution characteristics and its relationship with geological structure in Xingcun Mine[J]. Journal of Mining & Safety Engineering,2019,36(6):1240−1246.
|
| [10] |
赵志刚,张凯,尹延春,等. 不同应力下煤体钻孔试验及钻进能量响应研究[J]. 岩土力学,2023,44(10):2899−2906.
ZHAO Zhigang,ZHANG Kai,YIN Yanchun,et al. Drilling test and drilling energy response of coal under different stresses[J]. Rock and Soil Mechanics,2023,44(10):2899−2906.
|
| [11] |
侯仕军,丁伟捷,田帅康,等. 随钻测量技术在非油气工程领域的应用现状与展望[J]. 矿业研究与开发,2022,42(12):41−49.
HOU Shijun,DING Weijie,TIAN Shuaikang,et al. Application status and prospects of MWD technology in non–oil and gas engineering field[J]. Mining Research and Development,2022,42(12):41−49.
|
| [12] |
LIU Wenpeng,ROSTAMI J,RAY A,et al. Statistical analysis of the capabilities of various pattern recognition algorithms for fracture detection based on monitoring drilling parameters[J]. Rock Mechanics and Rock Engineering,2020,53:2265−2278. DOI: 10.1007/s00603-019-01965-8
|
| [13] |
岳中琦. 钻孔过程监测(DPM)对工程岩体质量评价方法的完善与提升[J]. 岩石力学与工程学报,2014,33(10):1977−1996.
YUE Zhongqi. Drilling process monitoring for refining and upgrading rock mass quality classification methods[J]. Chinese Journal of Rock Mechanics and Engineering,2014,33(10):1977−1996.
|
| [14] |
谭卓英,李文,岳鹏君,等. 基于钻进参数的岩土地层结构识别技术与方法[J]. 岩土工程学报,2015,37(7):1328−1333.
TAN Zhuoying,LI Wen,YUE Pengjun,et al. Techniques and approaches for identification of geo–formation structure based on diamond drilling parameters[J]. Chinese Journal of Geotechnical Engineering,2015,37(7):1328−1333.
|
| [15] |
李宁,李骞,宋玲. 基于回转切削的岩石力学参数获取新思路[J]. 岩石力学与工程学报,2015,34(2):323−329.
LI Ning,LI Qian,SONG Ling. Acquiring mechanical parameters of rock based on rotational cutting[J]. Chinese Journal of Rock Mechanics and Engineering,2015,34(2):323−329.
|
| [16] |
王琦,高红科,蒋振华,等. 地下工程围岩数字钻探测试系统研发与应用[J]. 岩石力学与工程学报,2020,39(2):301−310
WANG Qi,GAO Hongke,JIANG Zhenhua,et al. Development and application of a surrounding rock digital drilling test system of underground engineering[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(2):301−310.
|
| [17] |
曹瑞琅,王玉杰,赵宇飞,等. 基于钻进过程指数定量评价岩体完整性原位试验研究[J]. 岩土工程学报,2021,43(4):679−687. DOI: 10.11779/CJGE202104010
CAO Ruilang,WANG Yujie,ZHAO Yufei,et al. In–situ tests on quantitative evaluation of rock mass integrity based on drilling process index[J]. Chinese Journal of Geotechnical Engineering,2021,43(4):679−687. DOI: 10.11779/CJGE202104010
|
| [18] |
XUE Xinran,ZHANG Kai,XIAO Fangyuan,et al. Prediction of fractured zones in deep roadway of coal mine excavated via TBM based on Measurement While Drilling method[J]. Bulletin of Engineering Geology and the Environment,2023,82(8):330. DOI: 10.1007/s10064-023-03360-8
|
| [19] |
孙鑫,张少华,程敬义,等. 基于MLR–RBF的岩石强度智能随钻识别实验研究[J]. 采矿与安全工程学报,2022,39(5):981−991.
SUN Xin,ZHANG Shaohua,CHENG Jingyi,et al. Experimental study on intelligent identification of rock strength while drilling based on MLR–RBF[J]. Journal of Mining & Safety Engineering,2022,39(5):981−991.
|
| [20] |
梁栋才,汤华,吴振君,等. 基于多钻进参数和概率分类方法的地层识别研究[J]. 岩土力学,2022,43(4):1123−1134.
LIANG Dongcai,TANG Hua,WU Zhenjun,et al. Stratum identification based on multiple drilling parameters and probability classification[J]. Rock and Soil Mechanics,2022,43(4):1123−1134.
|
| [21] |
房昱纬,吴振君,盛谦,等. 基于超前钻探测试的隧道地层智能识别方法[J]. 岩土力学,2020,41(7):2494−2503.
FANG Yuwei,WU Zhenjun,SHENG Qian,et al. Intelligent recognition of tunnel stratum based on advanced drilling tests[J]. Rock and Soil Mechanics,2020,41(7):2494−2503.
|
| [22] |
冯上鑫,王善勇. 旋切作用下岩石破碎机理及岩石可钻性的试验研究[J]. 煤炭学报,2022,47(3):1395−1404.
FENG Shangxin,WANG Shanyong. Experimental study of rock–bit interaction mechanism for rock drillability assessment in rotary drilling[J]. Journal of China Coal Society,2022,47(3):1395−1404.
|
| [23] |
FENG Shangxin,WANG Yujie,ZHANG Guolai,et al. Estimation of optimal drilling efficiency and rock strength by using controllable drilling parameters in rotary non–percussive drilling[J]. Journal of Petroleum Science and Engineering,2020,193:107376. DOI: 10.1016/j.petrol.2020.107376
|
| [24] |
刘克奇,杜佃春,赵文,等. 基于机器学习的泥水盾构关键掘进参数预测与优化[J]. 东北大学学报(自然科学版),2023,44(11):1621−1630. DOI: 10.12068/j.issn.1005-3026.2023.11.015
LIU Keqi,DU Dianchun,ZHAO Wen,et al. Machine learning–based prediction and optimization of slurry shield’s key tunneling parameters[J]. Journal of Northeastern University(Natural Science),2023,44(11):1621−1630. DOI: 10.12068/j.issn.1005-3026.2023.11.015
|
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. 
DownLoad: