Abstract
The evolution of water flow channels typically includes a micro-fracture precursor, especially during deep mining. However, this precursor has not been well characterized. To get more insight into this precursor and its development, the no. 22517 panel in the Dongjiahe coal mine was studied using microseismic monitoring. The energy density of microseismic events was used to identify the spatial location and formation process of the water flow channels. Microseismic focal parameters, such as seismic energy, seismic potency, apparent stress, seismic moment, apparent volume, energy index, and the Gutenberg-Richter b value were determined for the micro-fracture precursors of the water flow channels. The cumulative apparent volume increased significantly and the Gutenberg-Richter b value decreased rapidly, corresponding to the micro-fracture precursor of the water flow channel. Based on the results, a Gutenberg-Richter b value of 0.7 may be an early warning threshold for the formation of a water-flow channel. Finally, a real-time early warning method for water inrush disasters in floor was established based on microseismic monitoring, geophysics, and the water inrush coefficient.
Zusammenfassung
Die Entwicklung von Wasserwegsamkeiten schließt in der Regel Mikrofrakturen als Präkursor ein, speziell bei tiefem Bergbau. Dieser Präkursor ist jedoch nicht gut charakterisiert. Um in diesen Präkursor einen tieferen Einblick zu gewinnen, wurde die Ebene 22517 im Dongjiahe Kohle-Bergwerk durch mikro-seismisches Monitoring untersucht. Die Energiedichte der mikroseismischen Ereignisse wurde benutzt, um die Lokalitäten und den Entstehungsprozess der Wasserwegsamkeiten zu erfassen. Mikroseismische Parameter wie seismische Energie, seismische Stärke, scheinbare Spannung, seismischer Impuls, scheinbares Volumen, Energieindex und Gutenberg-Richter-b-Wert wurden für die Mikrofraktur-Präkursoren der Wasserwegsamkeiten bestimmt. Das kumulative scheinbare Volumen stieg signifikant und der Gutenberg-Richter-b-Wert ging schnell zurück im Zusammenhang mit den Mikrofraktur-Präkursoren der Wasserwegsamkeiten. Basierend auf den Ergebnissen kann ein Gutenberg-Richter-b-Wert von 0,7 als Schwellenwert für eine erste Warnung vor entstehenden Wasserwegsamkeiten angenommen werden. Letztlich wurde eine Echtzeit-Frühwarn-Methode für Wassereinbrüche aufgebaut, die auf mikroseismischem Monitoring, Geophysik und dem Wassereinbruch-Koeffizienten beruht.
Resumen
La evolución de los canales de flujo de agua suele incluir un precursor de microfracturas, especialmente durante la minería a gran profundidad. Sin embargo, este precursor no ha sido bien caracterizado. Para obtener más información sobre este precursor y su desarrollo, se estudió el panel Nº 22517 de la mina de carbón de Dongjiahe utilizando la vigilancia microsísmica. La densidad de energía de los eventos microsísmicos se utilizó para identificar la ubicación espacial y el proceso de formación de los canales de flujo de agua. Se determinaron parámetros focales microsísmicos, como la energía sísmica, la potencia sísmica, la tensión aparente, el momento sísmico, el volumen aparente, el índice de energía y el valor b de Gutenberg-Richter para los precursores de microfracturas de los canales de flujo de agua. El volumen aparente acumulado aumentó significativamente y el valor de Gutenberg-Richter b disminuyó rápidamente, correspondiendo al precursor de microfractura del canal de flujo de agua. Sobre la base de los resultados, un valor de Gutenberg-Richter b de 0,7 puede ser un umbral de alerta temprana para la formación de un canal de flujo de agua. Por último, se estableció un método de alerta temprana en tiempo real para los desastres de irrupción de agua en el suelo, basado en la vigilancia microsísmica, la geofísica y el coeficiente de irrupción de agua.
煤炭回采诱发导水通道形成的微裂隙前兆:案例研究
尤其对于深部煤炭开采, 导水通道的形成通常都有微裂隙前兆。但是, 这种前兆还未被很好地表征。为深入了解这一前兆及其发展过程, 对董家河煤矿22517采区进行了微震监测研究。利用微震事件的能量密度识别导水通道的空间位置和形成过程。为识别导水通道的微破裂前兆, 确定了微震震源的地震能量、地震烈度、表观应力、地震力矩、表观体积、能量指数和古登堡-里克特b值参数。相应的导水通道微破裂前兆的累积表观体积显著增大和古登堡-里克特b值迅速减小。结果显示, 导水通道形成的古登堡-里克特b值早期预警阈值为0.7。最后, 基于微震监测、地球物理勘探和突水系数计算, 建立了底板突水灾害实时预警方法。
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References
Aki K, Richards PG (2012) Quantitative seismology. University Science Books, California
Chen B, Feng X, Zeng X, Xiao Y, Zhang Z, Ming H, Feng G (2011) Real-time microseismic monitoring and its characteristic analysis during TBM tunneling in deep-buried tunnel. Chin J Rock Mech Eng 30(2):275–283 (in Chinese)
Chen L, Liu J, Wang C, Wang L, Wang X, Wang J (2012) Study of acoustic emission characteristics of Beishan deep granite under different stress conditions. Chin J Rock Mech Eng 31:3618–3624 (in Chinese)
Cheng G, Ma T, Tang C, Liu H, Wang S (2017) A zoning model for coal mining-induced strata movement based on microseismic monitoring. Int J Rock Mech Min 94:123–138
Cheng G, Li L, Zhu W, Yang T, Tang C, Zheng Y, Wang Y (2019) Microseismic investigation of mining-induced brittle fault activation in a Chinese coal mine. Int J Rock Mech Min 123:104096
Du W, Jiang Y, Ma Z, Jiao Z (2017) Assessment of water inrush and factor sensitivity analysis in an amalgamated coal mine in China. Arab J Geosci 10(21):471
Fan K, Li W, Wang Q, Liu SL, Xue S, Xie C, Wang Z (2019) Formation mechanism and prediction method of water inrush disasters from separated layers within coal seam mining: a case study in the Shilawusu mining area, China. Eng Fail Anal 103:158–172
Gu S, Li A, Su P (2011) The report on the distribution characteristics of the floor failure depth and waterproof measures in the Chenghe mining area. Xi’An University of Science and Technology, Xi’An
Gutenberg B, Richter CF (1944) Frequency of earthquakes in California. B Seismol Soc Am 34(4):185–188
Hanks TC, Kanamori H (1979) A moment magnitude scale. J Geophys Res 84(B5):2348–2350
Hua X, Zhang W, Jiao D (2011) Assessment method of water-inrush risk induced by fault activation and its application research. Proced Eng 26:441–448
Khadhraoui B, Leslie D, Drew J (2010) Real-time detection and localization of microseismic events. SEG Technical Program Expanded Abstracts, Soc of Exploration Geophysicists, pp 2146–2150
Lei X, Kusunose K, Satoh T, Nishizawa O (2003) The hierarchical rupture process of a fault: an experimental study. Phys Earth Planet Inter 137(1–4):213–228
Li T, Liu J, Chen L, Xu J, Wang L (2013) Acoustic emission characteristics of granite under tensile loading. Chin J Rock Mech Eng S2:3215–3221
Li L, Zhou Z, Li S, Xue Y, Xu Z, Shi S (2015) An attribute synthetic evaluation system for risk assessment of floor water inrush in coal mines. Mine Water Environ 34(3):288–294
Li S, Wu J, Xu Z, Yang W (2019) Mechanics criterion of water inrush disasters from the coal floor under influence of fault and its engineering application. Int J Geomech 19(5):04019022
Liu J, Feng X, Li Y, Xu S, Sheng Y (2013) Studies on temporal and spatial variation of microseismic activities in a deep metal mine. Int J Rock Mech Min 60:171–179
Liu C, Wu S, Cheng A (2014) Microseismic monitoring and numerical simulation of the formation of water inrush disasters pathway caused by coal mining. J Univ Sci Technol Beijing 09:1129–1135 (in Chinese)
Lynch R, Mendecki A (2004) Experimental and theoretical investigations of fundamental processes in mining induced fracturingand rock instability close to excavations. ISS International Limited, Abu Dhabi
Mendecki A, Keynote A (1993) Real time quantitative seismology in mines. Proc, 3rd international symp on rockbursts and seismicity in mines, pp 287–295
Mendecki A, Lynch R, Malovichko D (2010) Routine micro-seismic monitoring in mines. Proc, Australian earthquake engineering soc conf, pp 1–33
Meng Z, Li G, Xie X (2012) A geological assessment method of floor water inrush disasters risk and its application. Eng Geol 143:51–60
Qiao W, Li W, Zhao C (2009) Water inrush coefficient-unit inflow method for water inrush disasters evaluation of coal mine floor. Chin J Rock Mech Eng 28(12):2466–2474 (in Chinese)
Tao S (1999) The chemical characteristics and geological background of karst water in north Weinan, Shaanxi. Geol Shaanxi 01:53–57 (in Chinese)
Van Aswegen G, Butler AG (1993) Applications of quantitative seismology in South African gold mines. In: Young RP (Ed), Proc, 3rd symp on rockbursts and seismicity in mines, pp 261–266
Wu Q, Liu Y, Luo LH, Liu S, Sun W, Zeng Y (2015) Quantitative evaluation and prediction of water inrush vulnerability from aquifers overlying coal seams in Donghuantuo coal mine, China. Environ Earth Sci 74(2):1429–1437
Wu J, Xu S, Zhou R, Qin Y (2016) Scenario analysis of mine water inrush disasters hazard using Bayesian networks. Saf Sci 89:231–239
Wu Q, Zhao D, Wang Y, Shen J, Mu W, Liu H (2017) Method for assessing coal-floor water-inrush risk based on the variable-weight model and unascertained measure theory. Hydrogeol J 25(7):2089–2103
Wyss M, Brune JN (1968) Seismic moment, stress, and source dimensions for earthquakes in the California-Nevada region. J Geophys Res 73(14):4681–4694
Xiao Y, Feng X, Hudson JA, Chen B, Feng G, Liu J (2016) ISRM suggested method for in situ microseismic monitoring of the fracturing process in rock masses. Rock Mech Rock Eng 49(1):343–369
Xie H, Liu J, Ju Y, Li J, Xie L (2011) Fractal property of spatial distribution of acoustic emissions during the failure process of bedded rock salt. Int J Rock Mech Min 48(8):1344–1351
Xu Z, Wu J, Li S, Zhang B (2017) Semianalytical solution to determine minimum safety thickness of rock resisting water inrush disasters from filling-type karst caves. Int J Geomech 18(2):04017152
Yang B, Sui W, Duan L (2017) Risk assessment of water inrush disasters in an underground coal mine based on GIS and fuzzy set theory. Mine Water Environ 36(4):617–627
Yu Q, Tang C, Li L, Cheng G, Tang L (2015) Study on rockburst nucleation process of deep-buried tunnels based on microseismic monitoring. Shock Vib 1:685437
Zhang F (2016) Study on deformation failure mechanism of deep coal seam floor and evaluation method of water inrush disasters mining above confined aquifer. PhD Diss, China Univ of Mining and Technology (in Chinese)
Zhang P, Yang T, Yu Q, Xu T, Shi W, Li S (2016) Study of a seepage channel formation using the combination of microseismic monitoring technique and numerical method in Zhangmatun iron mine. Rock Mech Rock Eng 49:3699–3708
Zhao D, Wu Q, Cui F, Xu H, Zeng Y, Cao Y, Du Y (2018) Using random forest for the risk assessment of coal-floor water inrush disasters in Panjiayao coal mine, northern China. Hydrogeol J 26(7):1–14
Zhou J, Yang T, Zhang P, Xu T, Wei J (2017) Formation process and mechanism of seepage channels around grout curtain from microseismic monitoring: a case study of Zhangmatun iron mine, China. Eng Geo 226:301–315
Acknowledgements
This work was funded by the National Science Foundation of China (Grants 51909032 and U1710253, 51627804, 51879041), Natural Science Foundation of Anhui Province (Grant 2008085ME145) and Fundamental Research Funds for the Central Universities (Grant N180105029).
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Cheng, G., Tang, C., Li, L. et al. Micro-fracture Precursors of Water Flow Channels Induced by Coal Mining: A Case Study. Mine Water Environ 40, 398–414 (2021). https://doi.org/10.1007/s10230-021-00772-4
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DOI: https://doi.org/10.1007/s10230-021-00772-4