Development status and prospect of geological guarantee technology for intelligent coal mining in China^☆

Abstract

In the face of the energy revolution and industrial change in the new era, intelligent coal mining is the only way to achieve high-quality development of the coal industry. Intelligent coal mining has endowed the coal mine geological guarantee system with new connotations and promoted the higher-level development of coal mine geological guarantee technology. The significance of the geological guarantee system in the entire process of coal mining is systematically analyzed. The research and application status of surface, borehole, and “four-while” detection technology is reviewed in detail. The key technologies and development progress of intelligent geological assurance are introduced, and the future development direction of intelligent geological guarantee systems in China is comprehensively considered. High-precision detection results are the basis of geological guarantee. Based on conventional three-dimensional (3D) seismic exploration technology, 3D seismic high-precision imaging methods, intelligent identification methods of geological structures, intelligent inversion of stratum parameters, joint interpretation of reflected and diffracted waves for small-scale geological anomalies, and key technologies of underground exploration, which provide high-precision detection results for geological guarantee, are investigated. In terms of the construction of dynamic geological models, the dynamic detection technology of coal–rock interface with mining based on air-coupled radar has been proposed, and the significance of an online monitoring system is discussed. Based on the large amount of exploration data, the real-time data processing and visualization software and dynamic update method of the 3D geological model are established. This study systematically classified the key technologies of coal mine geological guarantee, specified the future direction of intelligent geological guarantee, and provided a reference for the development of intelligent mining geological assurance systems in coal mines.

Keywords

Geological guarantee / Intelligent mining / Three-dimensional seismic / Ground penetrating radar / Software platform

References

[1] S.P. Peng, Coal Resources Strategy Research, Science Press, Beijing, 2018.

[2] H.P. Xie, S.H. Ren, Y.C. Xie, X.M. Jiao, Development opportunities of the coal industry towards the goal of carbon neutrality, J. China Coal Soc. 46 (7) (2021) 2197-2211.

[3] L. Yuan, J.S. Wu, K. Yang, Key technology and its application of coal safety intelligent precision mining, J. Min. Saf. Eng. 40 (5) (2023) 861-868.

[4] S.M. Wang, Q. Sun, C. Gu, P.F. Li, J.S. Geng, S.Q. Wang, Q.M. Shi, The development of geoscientific research promoted by coal exploitation, China Coal 50 (1) (2024) 2-8.

[5] G.F. Wang, Speeding up intelligent construction of coal mine and promoting high-quality development of coal industry, China Coal 47 (1) (2021) 2-10.

[6] S.N. Dong, Z.B. Liu, J.Y. Cheng, B.H. Chen, Z.H. Dai, D. Li, Technologies and prospect of geological guarantee for intelligent coal mining, Coal Geol. Explor. 49 (1) (2021) 21-31.

[7] G.F. Wang, Development direction and innovation path of intelligent, safe and efficient green coal mining, J. Intell. Mine 5 (10) (2024) 2-7.

[8] X.F. Liu, C.L. Zhang, B.S. Nie, C.P. Zhang, D.Z. Song, T. Yang, Z.T. Ma, Mechanical response and mineral dissolution of anthracite induced by supercritical CO₂ saturation: influence of saturation time , Fuel 319 (2022) 123759.

[9] S.B. Wang, E.K. Hou, S.M. Wang, Y.L. Qu, M.Y. Cui, C.L. Liu, X.C. Xue, C.F. Zuo, C. Song, N. Wang, Development and application of geological guarantee system software for safe and intelligent coal mining, Coal Sci. Technol. 50 (7) (2022) 13-24.

[10] X.F. Liu, X.Q. Jia, Y. Niu, B.S. Nie, C.P. Zhang, D.Z. Song, Alterations in coal mechanical properties and permeability influenced by liquid CO₂ phase change fracturing , Fuel 354 (2023) 129254.

[11] X.F. Liu, B.S. Nie, W.X. Wang, Z.P. Wang, L. Zhang, The use of AFM in quantitative analysis of pore characteristics in coal and coal-bearing shale, Mar. Petrol. Geol. 105 (2019) 331-337.

[12] National Energy Administration, Guiding opinions on accelerating the intelligent development of coal mines, 2020. 〈 http://www.nea.gov.cn/2020-03/03/c_138838778.htm〉 (Accessed October 5, 2024).

[13] L. Yuan, P.S. Zhang, Development status and prospect of geological guarantee technology for precise coal mining, J. China Coal Soc. 44 (8) (2019) 2277-2284.

[14] S.P. Peng, Current status and prospects of research on geological assurance system for coal mine safe and high efficient mining, J. China Coal Soc. 45 (7) (2020) 2331-2345.

[15] S.P. Peng, Several problems in establishing and improving the geological guarantee system of high-yield and high-efficiency mines in China’s coal mines, China Association for Science and Technology “Coal Young Scholars Forum” Report Meeting, China Coal Society, Shanghai, China, 1998.

[16] S.P. Peng, Geological assurance system of high yield and high efficiency coal mine in China, Hebei Coal S1 (1999) 1-4.

[17] D.X. Han, S.P. Peng, Review and outlook for mine geological assurance system for China’s high efficiency coal Mines, China Coal (2) (2002) 5-9.

[18] G.F. Wang, Promote development of intelligent mines by classification for the issue of intelligent mines, J. Intell. Mine 1 (1) (2020) 4-20.

[19] L. Yuan, P.S. Zhang, Framework and thinking of transparent geological conditions for precise mining of coal, J. China Coal Soc. 45 (7) (2020) 2346-2356.

[20] J.Y. Cheng, W.M. Liu, M.B. Zhu, B.J. Yu, Y. Wang, Z.Y. Zhang, Experimental study on cascade optimization of geological models in intelligent mining transparency working face, Coal Sci. Technol. 48 (7) (2020) 118-126.

[21] T. Wang, J. Sun, T. Jiang, Z.Y. Lin, B. Zhang, X. Zhao, Z.Q. Xie, Basic configuration and scientific problems of coal eco-geological survey, J. China Coal Soc. 45 (1) (2020) 276-284.

[22] S.M. Wang, Q. Sun, J.W. Qiao, S.Q. Wang, Geological guarantee of coal green mining, J. China Coal Soc. 45 (1) (2020) 8-15.

[23] T. Wang, X.Z. Han, J. Deng, Y.J. Sun, Z.X. Li, S.H. Tang, S.J. Mao, Z.Y. Lin, C.C. Li, X. Zhao, J. Sun, H.Z. Song, B. Zhang, F.B. Meng, Z.J. Wu, X.L. Deng, T. Jiang, Orientation and major research problems of coal geological exploration in China under new conditions, Coal Geol. Explor. 51 (2) (2023) 27-44.

[24] J.P. Zuo, H.Y. Liu, C.Y. Xu, J.H. Wen, D.J. Liu, F. Zhu, Z.Y. Ma, Theory and technology of uniform strength support mechanics for deep coal roadway, J. China Univ. Min. Technol. 52 (4) (2023) 625-647.

[25] G.F. Wang, J.Z. Zhang, G.H. Xue, Z.B. Liu, Q. Liu, M. Li, J.F. Liu, J. Cheng, X.L. Zhang, Progress and reflection of intelligent geological guarantee technology in coal mining face, Coal Geol. Explor. 51 (2) (2023) 12-26.

[26] B. Dong, X. Li, Y. Shi, L. Li, J.N. Qiao, Coal mine safety mining planning control method based on geological support system, Saf. Coal Mines 54 (12) (2023) 167-174.

[27] X.L. Xu, Z. Ma, L.Z. Chen, Progress and thinking of transparent detection technology for hidden geological hazards in coal mines, J. Green Mine 1 (1) (2023) 56-69.

[28] E.L. Shuck, T.L. Davis, R.D. Benson, Multicomponent 3-D characterization of a coalbed methane reservoir, Geophysics 61 (2) (1996) 315-330.

[29] M. Urosevic, B.J. Evans, P.J. Hatherly, The improvement in seismic resolution by map and trace attribute analysis, Explor. Geophys. 23 (1-2) (1992) 387-391.

[30] A.C.B. Ramos, T.L. Davis, 3-D AVO analysis and modeling applied to fracture detection in coalbed methane reservoirs, Geophysics 62 (6) (1997) 1683-1695.

[31] S.P. Peng, W.F. Du, C.Y. Yin, G.G. Zou, Coal-bed gas content prediction based on AVO inversion, J. China Coal Soc. 39 (9) (2014) 1792-1796.

[32] W.F. Du, S.P. Peng, S.Z. Shi, Seismic interpretation of deep buried structure characteristics and its influence on coal mine safety, J. China Coal Soc. 40 (3) (2015) 640-645.

[33] W.F. Du, S.P. Peng, S.Z. Shi, The spatial distribution characteristics of ground fissures based on 3D seismic exploration, Chin. J. Rock. Mech. Eng. 35 (4) (2016) 778-783.

[34] D. Li, S.P. Peng, W.F. Du, Z.G. Xing, Z.C. Li, Comprehensive prediction method of coal seam gas outburst danger zone, J. China Coal Soc. 43 (2) (2018) 466-472.

[35] S.P. Peng, W.X. Wei, W.F. Du, S.Z. Shi, AVO inversion associated with prestack simultaneous inversion in determining the distribution of tectonic coal, J. China Univ. Min. Technol. 47 (5) (2018) 929-934.

[36] J.C. Jia, Q. Jia, X.Y. Sang, Y. Wu, Review and prospect of coal mine geological guarantee system in China during 30 years of construction, Coal Geol. Explor. 51 (1) (2023) 86-106.

[37] Y. Wang, C.Y. Xing, The principle study of the seismic resolution in seismic data processing and interpretation, J. China Coal Soc. 26 (1) (2001) 35-39.

[38] G.Q. Xue, C.Y. Bai, S. Yan, S. Greenhalgh, M.F. Li, N.N. Zhou, Deep sounding TEM investigation method based on a modified fixed central-loop system, J. Appl. Geophys. 76 (2012) 23-32.

[39] W.Y. Chen, G.Q. Xue, Y.K. Muhammad, L.J. Gelius, N.N. Zhou, H. Li, H.S. Zhong, Application of short-offset TEM (SOTEM) technique in mapping water-enriched zones of coal stratum, an example from East China, Pure Appl. Geophys. 172 (6) (2015) 1643-1651.

[40] D.Y. Hou, G.Q. Xue, N.N. Zhou, W. Chen, J.J. Xue, Exploration of deep magnetite deposit under thick and conductive overburden with ex component of SOTEM: A case study in China, Pure Appl. Geophys. 176 (2) (2019) 857-871.

[41] G.W. Zhu, B.Y. Di, W.B. Ma, C.X. Wu, W. Ding, Geological conditions and other geophysical survey technologies of coal mining face in deep mine, Coal Eng. 40 (3) (2008) 66-68.

[42] Z.K. Liu, Reflection characteristics and acoustic velocity of coal roof and floor under formation conditions, J. China Coal Soc. 33 (12) (2008) 1391-1396.

[43] H.X. Wang, H.M. Liu, G.W. Zhu, Development of new essential safety distributed mine 3-component seismograph, J. Electron. Meas. Instrum. 22 (S2) (2008) 347-352.

[44] J.Y. Cheng, H. Jiang, G.Z. Ji, H. Wu, Channel wave seismic exploration technology based on node digital seismograph in underground mine, Coal Sci. Technol. 43 (2) (2015) 25-28.

[45] M.C. Ge, Source location error analysis and optimization methods, J. Rock. Mech. Geotech. Eng. 4 (1) (2012) 1-10.

[46] J. Zheng, S.S. Shen, T.Q. Jiang, W.Q. Zhu, Deep neural networks design and analysis for automatic phase pickers from three-component microseismic recordings, Geophys. J. Int. 220 (1) (2020) 323-334.

[47] J. Zheng, T.Q. Jiang, Z.X. Wu, Y. Sun, Application of residual learning to microseismic random noise attenuation, Acta Geophys. 69 (4) (2021) 1151-1161.

[48] J. Zheng, L.B. Meng, Y. Sun, S.P. Peng, GPU-acceleration 3D rotated-staggered-grid solutions to microseismic anisotropic wave equation with moment tensor implementation, Int. J. Min. Sci. Technol. 33 (4) (2023) 403-410.

[49] R.X. Wu, S.D. Liu, P.S. Zhang, The exploration of two-gateways parallel 3-D electrical technology for water-rich area within coal face floor, J. China Coal Soc. 35 (3) (2010) 454-457.

[50] P.S. Zhang, S.D. Liu, Y.F. Shu, Analysis on dynamic testing results of distortion and collapsing of the top rock by geophysical method during mining of coal seam, J. China Coal Soc. 36 (2) (2011) 217-222.

[51] P.S. Zhang, X.W. Hu, Research status on technology of advanced detection by electromagnetic methods in mine laneway, Coal Sci. Technol. 43 (1) (2015) 112-115.

[52] Y.C. Hu, A study of detection mode of mine radio wave perspective technology, Geophys. Geochem. Explor. 42 (1) (2018) 213-219.

[53] X.L. Xu, S.P. Peng, F. Yang, Development of a ground penetrating radar system for large-depth disaster detection in coal mine, J. Appl. Geophys. 158 (2018) 41-47.

[54] X.L. Wang, B.C. Jiang, K.B. Wang, Calibration and experiment of mine electromagnetic LWD gamma logging tool, Coal Geol. Explor. 47 (5) (2019) 208-212.

[55] H.Z. Liu, Advanced Prediction Technology and Application of the Integration of Drilling and Geophysical Prospecting (Dissertation), China University of Mining and Technology, Xuzhou, China, 2021.

[56] N. Taylor, J. Merriam, D. Gendzwill, A. Prugger, The mining machine as a seismic source for in-seam reflection mapping, in: SEG Technical Program Expanded Abstracts 2001, Society of Exploration Geophysicists, 2001, pp. 1365-1368.

[57] S.L. Li, P.S. Zhang, Processing of random roadway source signals based on a cross-correlation algorithm in the deconvolution domain, Explor. Geophys. 52 (1) (2021) 98-108.

[58] L. Yuan, P.S. Zhang, Key technology and path thinking of dynamic reconstruction of mine transparent geological model, J. China Coal Soc. 48 (1) (2023) 1-14.

[59] J.H. Hu, X. Li, H. Liu, W.M. Hu, X. Yue, Research on the advanced detection of transient electromagnetic in tunnel construction by TBM, Geophys. Geochem. Explor. 44 (5) (2020) 1183-1189.

[60] J.L. Cheng, F. Li, S.P. Peng, X.Y. Sun, J. Zheng, J.Z. Jia, Joint inversion of TEM and DC in roadway advanced detection based on particle swarm optimization, J. Appl. Geophys. 123 (2015) 30-35.

[61] X.L. Xu, S.P. Peng, Z. Ma, P.Q. Zhu, Y.D. Wang, Principle and key technology of dynamic detection of coal-rock interface in coalmine based on air-coupled radar, J. China Coal Soc. 47 (8) (2022) 2961-2977.

[62] J.Y. Cheng, S. Qin, B. Lu, B.L. Wang, J. Wang, Y.H. Wang, The development of seismic-while-mining detection technology in underground coal mines, Coal Geol. Explor. 47 (3) (2019) 1-9.

[63] B.Y. Sun, P.S. Zhang, Research progress and prospect of surrounding rock deformation and failure monitoring in stope based on DFOS, J. Eng. Geol. 29 (4) (2021) 985-1001.

[64] K. Ren, G.G. Zou, S.M. Zhang, S.P. Peng, F. Gong, Y.H. Liu, Fault identification and reliability evaluation using an SVM model based on 3-D seismic data volume, Geophys. J. Int. 234 (1) (2023) 755-768.

[65] D. Li, S.P. Peng, Y.X. Lu, Y.L. Guo, X.Q. Cui, Seismic structure interpretation based on machine learning: a case study in coal mining, Interpretation 7 (3) (2019) SE69-SE79.

[66] X.G. Huang, K.S. Eikrem, M. Jakobsen, G. Nævdal, Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter, Geophysics 85 (4) (2020) C125-C139.

[67] X.G. Huang, Full wavefield inversion with multiples: Nonlinear Bayesian inverse multiple scattering theory beyond the born approximation, Geophysics 88 (6) (2023) T289-T303.

[68] D. Li, Y.L. Guo, S.P. Peng, Y.X. Lu, X.Q. Cui, W.F. Du, Seismic full-waveform inversion based on superresolution for high-precision prediction of reservoir parameters, Geophysics 88 (3) (2023) R243-R256.

[69] Q.N. Liu, S.P. Peng, J.T. Zhao, X.Q. Cui, W.F. Du, P. Lin, 3D edge-diffraction coefficients in the azimuth and emergence domain, Geophysics 84 (2) (2019) T73-T82.

[70] C.J. Li, S.P. Peng, X.Q. Cui, P. Lin, Diffraction separation using structure-oriented orthogonal polynomial transform, Geophysics 87 (5) (2022) V397-V404.

[71] P. Lin, S.P. Peng, J.T. Zhao, X.Q. Cui, Diffraction separation and imaging using multichannel singular-spectrum analysis, Geophysics 85 (1) (2020) V11-V24.

[72] T.J. Sheng, J.T. Zhao, Separation and imaging of diffractions using a dilated convolutional neural network, Geophysics 87 (3) (2022) S117-S127.

[73] S.P. Peng, J.T. Zhao, T.J. Sheng, J. Yang, J.H. Tao, Status and advance of seismic diffraction exploration in coalfield, Coal Geol. Explor. 51 (1) (2023) 1-20.