Response law and indicator selection of seismic wave velocity for coal seam outburst risk
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Abstract
The accurate detection of coal seam stress field effectively prevents coal and gas outbursts. This study uses wave velocity, wave velocity anomaly coefficient, and wave velocity gradient as indicators to identify stress anomalies in coal seam. The results show that these three indicators of wave velocity are all positively correlated with load, while changes in the wave velocity anomaly coefficient and wave velocity gradient are more gentle than those of wave velocity. The degree of damage of coal can be judged by the wave velocity anomaly coefficient, while the transition between high and low stress zones can be identified by the wave velocity gradient. In areas affected by geological structures such as valleys and mountain tops, the coal seam wave velocity and wave velocity anomaly coefficient may exhibit anomalies. The comparative analysis of wave velocity and its derived indicators can reveal the stress state and coal structure of coal seam with higher accuracy, identify the areas affected by geological structures such as valleys and mountain tops, and determine the boundary of the stress relief zone after hydraulic fracturing. Combined with the actual geological structure characteristics of coal seam, it can accurately identify the stress disturbance region of coal seam and achieve the purpose of predicting coal and gas outbursts.
Document Type: Original article
Cited as: Qiu, L., Zhu, Y., Liu, Q., Guo, M., Song, D., Wang, A. Response law and indicator selection of seismic wave velocity for coal seam outburst risk. Advances in Geo-Energy Research, 2023, 9(3): 198-210. https://doi.org/10.46690/ager.2023.09.07
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Aguado, M., Nicieza, C. Control and prevention of gas outbursts in coal mines, Riosa-Olloniego coalfield, Spain. International Journal of Coal Geology, 2007, 69(4): 253-266.
Alexander, S., Yuliya, D. Geophysical criterion of pre-outburst coal outsqueezing from the face space into the working. International Journal of Mining Science and Technology, 2019, 29: 499-506.
Bai, X., Jia, T., Zhang, Z., et al. Analysis of coal gas dynamic phenomenon in Xinmi coalfield. Coal Geology & Exploration, 2009, 37(4): 19-33. (in Chinese)
Black, J. Review of coal and gas outburst in Australian underground coal mines. International Journal of Mining Science and Technology, 2019, 29: 815-824.
Durucan, S., Cao, W., Cai, W., et al. Monitoring, assessment and mitigation of rock burst and gas outburst induced seismicity in longwall top coal caving mining. Paper ISRM-RDS-2019-002 Presented at ISRM Rock Dynamics Summit, Okinawa, Japan, 7-11 May, 2019.
Fatemeh, S., Guang, S., Hamid, R., et al. Numerical modelling of coal and gas outburst initiation using energy balance principles. Fuel, 2023, 334(1): 126687.
Frid, V., Vozoff, K. Electromagnetic radiation induced by mining rock failure. International Journal of Coal Geology, 2005, 64: 57-65.
Gong, S. Research and application of using mine tremor velocity tomography to forecast rock burst danger in coal mine. Beijing: China University of Mining and Technology, 2010. (in Chinese)
Hudecek, V. Analysis of safety precautions for coal and gas outburst-hazardous strata. Journal of Mining Science, 2008, 44(5): 464-472.
Hui, G., Chen, Z., Chen, S., et al. Hydraulic fracturing-induced seismicity characterization through coupled modeling of stress and fracture-fault systems. Advances in Geo-Energy Research, 2022, 6(3): 269-270.
Jun, T., Cheng, L., Yu, J., et al. Line prediction technology for forecasting coal and gas outbursts during coal roadway tunneling. Journal of Natural Gas Science and Engineering, 2016, 34: 412-418.
Katarzyna, K., Andrzej, N., Libor, S., et al. Rock and gas outbursts in copper mines: Use of brazilian tests to evaluate the work of disintegration of rock resulting from stresses produced by gas present in its porous structure. Rock Mechanics and Rock Engineering, 2022, 55(10): 6209-6225.
Khadijeh, A., Mehdi, N., Ramin, R. Prediction of coal and gas outburst risk by fuzzy rock engineering system. Environmental Earth Sciences, 2021, 80(15): 491.
Koziel, K., Janus, J. Force exerted by gas on material ejected during gas-geodynamic phenomena analysis and experimental verification of theory. Archives of Mining Sciences, 2022, 66: 491-508.
Lamaet, R., Bodziony, J. Management of outburst in underground coal mines. International Journal of Coal Geology, 1998, 35: 83-115.
Li, T., Cai, M., Cai, M. A review of mining-induced seismicity in China. International Journal of Rock Mechanics and Mining Sciences, 2007, 44(8), 1149-1171.
Li, Z., He, X., Dou, L., et al. Bursting failure behavior of coal and response of acoustic and electromagnetic emissions. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(10): 2057-2068. (in Chinese)
Li, B., Wang, E., Li, Z., et al. Automatic recognition of effective and interference signals based on machine learning: A case study of acoustic emission and electromagnetic radiation. International Journal of Rock Mechanics and Mining Sciences, 2023, 170: 105505.
Liu, C., Chen, S., Zhao, J., et al. Geochemical characteristics and origin of crude oil and natural gas in the Southern Slope Zone, Kuqa Foreland Basin, NW China. Journal of Earth Science, 2022, 33(3): 820-830.
Liu, C., Li, S., Cheng, C., et al. Activation characteristics analysis on concealed fault in the excavating coal roadway based on microseismic monitoring technique. International Journal of Mining Science and Technology, 2017, 27(5): 883-887.
Lurka, A. Location of high seismic activity zones and seismic hazard assessment in Zabrze Bielszowice coal mine using passive tomography. International Journal of Mining Science and Technology, 2008, 18(2): 177-181.
Mlynarczuk, M., Skiba, M. An approach to detect local tectonic dislocations in coal seams based on roughness analysis. Archives of Mining Sciences, 2022, 67: 743-756.
Peng, Y., Qiu, L., Zhu, Y., et al. Multi-scale multivariate detection method for the effective impact range of hydraulic fracturing in coal seam. Journal of Applied Geophysics, 2023, 215: 105124.
Qiu, L., Liu, Z., Wang, E., et al., Early-warning of rock burst in coal mine by low-frequency electromagnetic radiation. Engineering Geology, 2020, 279: 105755.
Qiu, L., Song, D., Li, Z., et al. Research on AE and EMR response law of the driving face passing through the fault. Safety Science, 2019, 117: 184-193.
Rezaei, M., Davoodi, P., Najmoddin, I. Studying the correlation of rock properties with P-wave velocity index in dry and saturated conditions. Journal of Applied Geophysics, 2019, 169: 49-57.
Saito, S., Ishikawa, M., Arima, M., et al. Laboratory measurements of ‘porosity-free’ intrinsic Vp and Vs in an olivine gabbro of the Oman ophiolite: Implication for interpretation of the seismic structure of lower oceanic crust. Island Arc, 2015, 24: 131-144.
Salimbeni, S., Malusa, M., Zhao, L., et al. Active and fossil mantle flows in the western Alpine region unravelled by seismic anisotropy analysis and high-resolution P wave tomography. Tectonophysics, 2018, 731: 35-47.
Shi, S., Liu, Z., Feng, J., et al. Using 3D seismic exploration to detect ground fissure. Advances in Geo-Energy Research, 2020, 4(1): 13-19.
Shu, L., Liu, Z., Wang, K., et al. Characteristics and classification of microseismic signals in heading face of coal mine: Implication for coal and gas outburst warning. Rock Mechanics and Rock Engineering, 2022, 55(11): 6905-6919.
Sobczyk, J. A comparison of the influence of adsorbed gases on gas stresses leading to coal and gas outburst. Fuel, 2014, 115: 288-294.
Uyanik, O. Estimation of the porosity of clay soils using seismic P- and S-wave velocities. Journal of Applied Geophysics, 2019, 170: 103832.
Vlastimil, H., Milan, S. Forecast and prevention of coal and gas outbursts in the case of application of a new mining method-drilling of a coal pillar. Acta Montanistica Slovaca, 2010, 15(2): 102-108.
Wang, H., Cai, J., Su, Y., et al. Pore-scale study on shale Oil-CO2-Water miscibility, competitive adsorption, and multiphase flow behaviors. Langmuir, 2023, 39: 12226-12234.
Xu, K., Fu, Q. Uneven stress and permeability variation of mining-disturbed coal seam for targeted CBM drainage: A case study in Baode coal mine, eastern Ordos Basin, China. Fuel, 2021, 289: 119911.
Xu, S., Xia, Y., Lu, M., et al. Fractal perspective on the effects of the acid-rock interaction on the shale pore structure. Energy and Fuels, 2023, 37: 6610-6618.
Xue, C., Shi, F., Gui F., et al. Accident case data-accident cause model hybrid-driven coal and gas outburst accident analysis: Evidence from 84 accidents in China during 2008-2018. Process Safety and Environmental Protection, 2022, 164: 67-90.
Yan, B., Zhu, C., Shen, C., et al. A novel ECBM extraction technology based on the integration of hydraulic slotting and hydraulic fracturing. Journal of Natural Gas Science and Engineering, 2015, 22, 571-579.
Yang, D., Chen, Y., Tang, J., et al. Comparative experimental study of methods to predict outburst risk when uncovering coal in crosscuts. Fuel, 2021, 288: 119851.
Ye, D., Liu, G., Ma, T., et al. The mechanics of frost heave with stratigraphic microstructure evolution. Engineering Geology, 2023, 319: 107119.
Zhang, G., Wang, E., Ou, J., et al. Regional prediction of coal and gas outburst under uncertain conditions based on the spatial distribution of risk index. Natural Resources Research, 2022, 31(6): 3319-3339.
Zhao, D., Xia, Y., Zhang, C., et al. A new method to investigate the size effect and anisotropy of mechanical properties of columnar jointed rock mass. Rock Mechanics and Rock Engineering, 2023, 56: 2829-2859.
Zheng, S., Long, Y., Zhong, G., et al. Numerical study on the mechanism of coal and gas outburst in the coal seam thickening area during mining. Energies, 2023, 16(7): 3288.
Zykov, S. V., Lee, U. H. About possibilities to improve current outburst hazard prediction based on updated mechanism of coal and gas outburst. Mining Report, 2016, 152(2): 161-170.
DOI: https://doi.org/10.46690/ager.2023.09.07
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