Abstract
Accurate detection of karst water is the premise of karst water disaster control in coal mines. It is difficult to identify karst geological characteristics based on seismic data, so to solve this problem, a digital model including the coal measure strata and complete karst system was established based on the karst status of a coal mine in the Huaibei area of China. The entire process of seismic acquisition, processing, and interpretation was simulated and then the model was restored according to the seismic interpretation. Based on the results, karst identification and water inrush risk prediction were tried. The results allowed the overall karst geological framework, karst cave system, and stratum contact relationships to be restored more truly. Thus, seismic data can provide accurate geological information for large-scale hydrogeological mine exploration.
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References
Dong SN (2007) Status and outlook of geological guarantee technology for safe and efficient production in coal mines. Coal Sci Technol 35(3):1–5 (Chinese)
Hu WY, Tian G (2010) Types and prevention and control countermeasures of coal mine water hazards in China. Coal Sci Technol 38(1):92–96 (Chinese)
James NP, Choquette PW (1988) Paleokarst. Springer, Berlin
Jin DW, Liu Q, Wang L, Ding X (2009) Status and outlook of research on coal mine (deposit) hydrogeology. Coal Geol Explor 37(5):28–36 (Chinese)
Li YF, Cheng JY, Xiong XJ et al (2011) 3D seismic forward modeling of collapse column and comparison. J China Coal Soc 36(3):456–460 (Chinese)
Li B, Wu Q, Duan XQ, Chen MY (2018) Risk analysis model of water inrush through the seam floor based on set pair analysis. Mine Water Environ 37(2):281–287
Li H, Bai H, Wu J, Meng QB, Ma K (2019) a set of methods to predict water inrush from an Ordovician karst aquifer: a case study from the Chengzhuang mine. China Mine Water Environ 38(1):39–48
Ma PZ (2005) Water inrush discrimination model and water control countermeasures for under-pressure mining of lower coal seams in north China coalfields. J China Coal Soc 30(5):608–612 (Chinese)
Mavko G, Mukerji T, Dvorikin J (1998) The rock physics handbook: tools for seismic analysis in porous media. Cambridge University, London
Sun WJ, Zhou WF, Jiao J (2016) Hydrogeological classification and water inrush accidents in China’s coal mines. Mine Water Environ 35(2):214–220
Wang CS, Wu Q, Ma HP et al (2016) Classification of mine hydrogeological types with complicated conditions. J China Coal Soc 41(3):696–702 (Chinese)
Wu Q (2003) Study on classification of types of mine environmental geological problems in China. Hydrogeol Eng Geol 27(5):107–112 (Chinese)
Wu Q (2014) Progress, problems and outlook in research of prevention and control and resource utilization of mine water in China. J China Coal Soc 39(5):795–805 (Chinese)
Wu Q, Chen Q (2008) Study on environmental effect induced by mine environmental problems. Hydrogeol Eng Geol 5(1):81–85 (Chinese)
Wu Q, Zhu QJ (2004) Brief talk on some problems of groundwater geophysical exploration techniques. Hydrogeol Eng Geol 29(3):111–114 (Chinese)
Wu Q, Zhao SQ, Sun WJ (2013) Classification of China’s coal mine hydrogeological types and analysis of their characteristics. J China Coal Soc 38(6):901–905 (Chinese)
Wu Q, Cui FP, Zhao SQ et al (2014) Analysis on type’s characteristics of mine water hazard. J China Coal Soc 38(4):561–565 (Chinese)
Xu YC, Du MZ, Luo YQ (2019) Using water injection to prevent shaft failure in the Jining no. 3 coal mine, China. Mine Water Environ 38(1):60–71
Zhu GM, Li GH, Cheng JY (2008) Numerical simulation of seismic survey in coalmine roadway. J China Coal Soc 33(11):1263–1267 (Chinese)
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This work was supported by the National Key R&D Program of China 2018YFC0807804.
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Zhang, X. Model-based Seismic Imaging and Analysis of Karst Water Hazards in Coal Mining. Mine Water Environ 40, 426–432 (2021). https://doi.org/10.1007/s10230-020-00749-9
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DOI: https://doi.org/10.1007/s10230-020-00749-9