A rapid prediction technology for the outburst risk of coal uncovered in crosscuts and shafts and its application in the Panyi Coal Mine in Huainan,China
Restricted accessResearch articleFirst published online June, 2018
A rapid prediction technology for the outburst risk of coal uncovered in crosscuts and shafts and its application in the Panyi Coal Mine in Huainan,China
In this study, we propose a set of rapid prediction technologies for the outburst risk of coal uncovering in crosscuts and shafts (CUCS). These technologies are needed because of the ideal model to uncover coal in crosscuts and the law that coal seam outburst intensity increases as the initial expansion energy of released gas (IEERG) increases. Our technologies include rapid coal seam gas pressure determination under complex geological conditions, complete coal-core coring and the IEERG measurement. We successfully applied these technologies in the Panyi Coal Mine in Huainan. The field application results demonstrated that these technologies could accurately and rapidly measure coal seam gas pressure, greatly minimize human damages to coal samples in the coal coring process, and accurately predict outburst risks in CUCS.
BeamishB, CrosdalePJ. 1998. Instantaneous outbursts in underground coal mines: an overview and association with coal type’. Int J Geol. 35:27–55.10.1016/S0166-5162(97)00036-0
2.
CaoYX, HeDD, GlickDC. 2001. Coal and gas outbursts in footwalls of reverse faults. Int J Coal Geol. 48(1–2):47–63.10.1016/S0166-5162(01)00037-4
3.
ChenKP. 2011. A new mechanistic model for prediction of instantaneous coal outbursts – dedicated to the memory of Prof. Daniel D. Joseph. Int J Coal Geol. 87(2):72–79.10.1016/j.coal.2011.04.012
4.
ChenYJ, JiangCL, LiXW, TangJ, WangC, YangFL, WangFK, ZHangCJ and DengSH. 2009. Effect of aeration on fast gas pressure tests. Min Sci Technol. 19(6):756–760.
5.
FisneA, EsenO.2014. Coal and gas outburst hazard in Zonguldak Coal Basin of Turkey, and association with geological parameters. Nat Hazards. 74(3):1363–1390.10.1007/s11069-014-1246-9
6.
FuH, JingXL, LiangMG. 2012. Application of computational intelligence platform in coal and gas outburst prediction Source. J Coal Sci Eng. 18(1):49–54.10.1007/s12404-012-0109-9
7.
GuanP, WangH, ZhangY.2009. Mechanism of instantaneous coal outbursts. Geol Soc Am Bull. 37(10):915–918.
8.
HanJ, ZhangH, LiS, SongW.2012. The characteristic of in situ stress in outburst area of China. Saf Sci. 50(4):878–884.10.1016/j.ssci.2011.08.014
9.
HarveyCR. (2001) Analysis and management of outbursts: with particular reference to the Bulli coal seam. Unpublished PhD thesis, University of Wollongong.
10.
Hefei Design Research Institute for Coal Industry. 1974. Preliminary Design of Panyi Coal Mine.
11.
HuangW, ChenZQ, YueJH, ZhangY and YangM.2010. Failure modes of coal containing gas and mechanism of gas outbursts. J China Univ Min Technol. 20:504–509.
12.
JiangCL. 2000. Linear discriminant analysis method and threshold of outburst risk. J China Univ Min Technol. 29:65–69.
13.
JiangCL, YuQX. 1996. Rules of energy dissipation in coal gas outburst. J China Coal Soc. 21(2):173–179.
14.
JiangCL, YuQX. 1998. The spherical shell instability mechanism and prevention technology of coal and gas outburst. Xuzhou: China University of Mining and Technology Press.
15.
JiangCL, ChenSL, ChenYY. 1996. Measurement of the initial releasing energy of expanding methane from coal. Chin J Rock Mech Eng. 15:395–400.
16.
JiangCL, WangC, LiXW, ChenYJ. 2008. Quick determination of gas pressure before uncovering coal in cross-cuts and shafts. J China Univ Min Technol. 18:494–499.10.1016/S1006-1266(08)60282-5
17.
JiangCL, XuLH, LiXW, TangJ, ChenYJ, TianSX, LiuHH. 2015. Identification model and indicator of outburst-prone coal seams. Rock Mech Rock Eng. 48:409–415.10.1007/s00603-014-0558-0
18.
LamaR, BodzionyJ.1998. Management of outburst in underground coal mines. Int J Coal Geol. 35(1–4):83–115.10.1016/S0166-5162(97)00037-2
19.
LiuJC. 1982. Study on the diffusion radius of grout into cracks. Proceedings of China Water Resources and Hydropower Research. Water Resources and Electricity Press, Beijing.
20.
LiuMJ, MitriH, WeiJ.2008. Recent trends of coal and gas outburst accidents in China. In: PengSS, MarkC, FinfingerGL, TadoliniSC, KhairAW, HeasleyKA, LuoY, editors. Proceedings of the 27th international conference on ground control in mining. Morgantown: West Virginia University; p. 66–71.
21.
PengSJ, XuJ, YangHW, LiuD.2012. Experimental study on the influence mechanism of gas seepage on coal and gas outburst disaster. Saf Sci. 50(4):816–821.10.1016/j.ssci.2011.08.027
22.
SobczykJ.2011. The influence of sorption processes on gas stresses leading to the coal and gas outburst in the laboratory conditions. Fuel. 90(3):1018–1023.10.1016/j.fuel.2010.11.004
23.
State Administration of Work Safety. 2009. Provisions of the prevention of coal and gas. Beijing: China Coal Industry Publishing House.
24.
WangL, ChengYP, GeCG, ChenJX, LiW, ZhouHX, WangHF. 2013. Safety technologies for the excavation of coal and gas outburst-prone coal seams in deep shafts. Int J Rock Mech Min Sci. 57:24–33.10.1016/j.ijrmms.2012.08.006
25.
WuCF, QinY, ZhangXL. 2004. Application of the third theory of quantification in coal and gas outburst forecast. J Coal Sci Eng. 10(2):60–65.
26.
XuT, TangCA, YangTH, ZhuWC, LiuJ.2006. Numerical investigation of coal and gas outbursts in underground collieries. Int J Rock Mech Min Sci. 43:905–919.10.1016/j.ijrmms.2006.01.001
27.
YangW, LinBQ, ZhaiC, LiXZ, AnS.2012. How in situ stresses and the driving cycle footage affect the gas outburst risk of driving coal mine roadway. Tunnelling Underground Space Technol. 31:139–148.10.1016/j.tust.2012.04.015
28.
YangSQ, SunY, ChenZY, YuBH, and XuQ.2009. Establishment of grey-neural network forecasting model of coal and gas outburst. Procedia Earth Planet Sci. 1(1):148–153.
29.
ZhangRL, LowndesIS. 2010. The application of a coupled artificial neural network and fault tree analysis model to predict coal and gas outbursts. Int J Coal Geol. 84(2):141–152.
