Experiment study of optimization on prediction index gases of coal spontaneous combustion

Abstract

The coal of Anyuan Mine has the characteristic of easy spontaneous combustion. Conventional method is difficult to predict it. Coal samples from this mine were tested in laboratory. The data obtained from laboratory determination were initialized for the value which was defined as “K”. The ratio of each index gas and value of “K”, and the ratio of combination index gases and value of “K”, were analyzed simultaneously. The research results show that for this coal mine, if there is carbon monoxide in the gas sample, the phenomenon of oxidation and temperature rising for coal exists in this mine; if there is C₂H₄ in the gas sample, the temperature of coal perhaps exceeds 130 °C. If the coal temperature is between 35 °C and 130 °C, prediction and forecast for coal spontaneous combustion depend on the value of Φ(CO)/K mainly; if the temperature of coal is between 130 °C and 300 °C, prediction and forecast for coal spontaneous combustion depend on the value of Φ(C₂H₆)/Φ(C₂H₂) and Φ(C₂H₆)/K. The research results provide experimental basis for the prediction of coal spontaneous combustion in Anyuan coal mine, and have better guidance on safe production of this coal mine.

Keywords

coal / spontaneous combustion / index gases / prediction / initialization

References

[1] XiaoY, MaL, WangZ-p, WenH, DengJun. Law of index gases adsorption and condensability of coal spontaneous combustion [J]. Journal of China Coal Society, 2007, 32(10): 1014-1018

[2] DengJ, LiB, LiZ-b, ZhangY, GuanX-jie. Experiment study on gas indexes optimization for coal spontaneous combustion prediction [J]. Coal Science and Technology, 2014, 42(1): 55-59

[3] JiangS-g, ZhangW-q, WangL-y, WuZ-y, ChenY-q, LiangW-w, HaoQuan. B-mode relational degree analysis of index gases in the high-temperature section of coal spontaneous combustion [J]. Journal of Mining & Safety Engineering, 2009, 26(3): 377-380

[4] GilM V, GarcíaR, PevidaC, RubieraF. Grindability and combustion behavior of coal and torrefied biomass blends [J]. Bioresource Technology, 2015, 191(9): 205-212

[5] DengJ, ZhaoJ-y, ZhangY-ni. Study on determination of coal spontaneous combustion characteristic temperature based on analysis method of index gas growth-rate [J]. Coal Science and Technology, 2014, 42(7): 49-52

[6] TanB, HuR-l, GaoP, LiKai. Experimental study on stage characteristics of coal spontaneous combustion disaster gas indicators [J]. China Safety Science Journal, 2013, 23(2): 51-57

[7] LiuQ, WangD-m, ZhongX-x, JiaoX-m, ZhangH-jun. Testing on indicator gases of coal spontaneous combustion based on temperature program [J]. Journal of Liaoning Technical University: Natural Science, 2013, 32(3): 362-366

[8] HuX-c, YangS-q, ZhouX-h, YuZ, HuC-ya. Coal spontaneous combustion prediction in gob using chaos analysis on gas indicators from upper tunnel [J]. Journal of Natural Gas Science and Engineering, 2015, 26(9): 461-469

[9] DengJ, XiaoY, LiQ-w, LuJ-h, WenHu. Experimental studies of spontaneous combustion and anaerobic cooling of coal [J]. Fuel, 2015, 157(1): 261-269

[10] ZhuH-q, WangH-y, WangF-r, YangC-yi. Research progress on coal stockpile temperature measuring technology [J]. Coal Science and Technology, 2014, 42(1): 50-54

[11] WenH, WuK, MaL, WangW-f, WangTao. Application of distributed optical fiber temperature measurement system in monitoring goaf coal spontaneous combustion [J]. Safety of Coal Mines, 2014, 45(5): 100-102

[12] ZhuJ-f, HeN, LiD-ji. The relationship between oxygen consumption rate and temperature during coal spontaneous combustion [J]. Safety Science, 2012, 50(4): 842-845

[13] YuanL-m, SmithA C. The effect of ventilation on spontaneous heating of coal [J]. Journal of Loss Prevention in the Process Industries, 2012, 25(1): 131-137

[14] LiuX-k, YangS-zhao. Numerical simulation of heating up and air leakage distribution for spontaneous combustion of coal pile [J]. Journal of Henan Polytechnic University: Natural Science, 2015, 34(5): 610-614

[15] ZhouY, MengQ, LiJ, LinB-q, XuCong. Research on numerical simulation for spontaneous combustion zone in gob area [J]. Journal of China University of Mining and Technology, 2014, 43(6): 963-968

[16] TarabaB, PavelekZ. Study of coal oxidation behaviour in re-opened sealed heating [J]. Journal of Loss Prevention in the Process Industries, 2016, 40(3): 433-436

[17] ZhangC, TiZ-y, LiZ-xiang. Three-dimension heterogeneity dynamic numerical simulation of top coal spontaneous combustion in limit equilibrium zone [J]. China Safety Science Journal, 2012, 22(5): 37-43

[18] YildirimO S, SensogutC, GokayM K. Effects of electrical resistance on the spontaneous combustion tendency of coal and the interaction matrix concept [J]. Journal of University of Science and Technology Beijing: Mineral, Metallurgy, Material, 2006, 13(1): 1-6

[19] JinY-f, ZhaoR-y, DengJ, LiuW-y, FeiJ-b, GuoJun. Experiment study on multi parameters prediction indexes of coal spontaneous combustion [J]. Coal Science and Technology, 2014, 42(9): 112-114

[20] ChuT-x, YuM-g, LiL-fei. Identification of information on spontaneous combustion environment for coal in goaf and determination of forecast indexes [J]. China Safety Science Journal, 2014, 24(8): 151-157

[21] SahuH B, MahapatraS S, SirikasemsukK, PanigrahiD C. A discrete particle swarm optimization approach for classification of Indian coal seams with respect to their spontaneous combustion susceptibility [J]. Fuel Processing Technology, 2011, 92(3): 479-485

[22] XuY-l, WangD-m, WangL-y, ZhongX-x, ChuT-xiang. Experimental research on inhibition performances of the sand-suspended colloid for coal spontaneous combustion [J]. Safety Science, 2012, 50(4): 822-827

[23] ZhangJ-a, LiW-j, LiuH-y, WangA-liang. Forecast of spontaneous combustion fire in goaf based on rough set and cluster [J]. Journal of Xi’an University of Science and Technology, 2012, 32(6): 696-701

[24] YuanL-m, SmithA C. CO and CO₂ emissions from spontaneous heating of coal under different ventilation rates [J]. International Journal of Coal Geology, 2011, 88(1): 24-30

[25] RosemaA, GuanH, VeldH. Simulation of spontaneous combustion, to study the causes of coal fires in the Rujigou Basin [J]. Fuel, 2001, 80(1): 7-16

[26] LiB, ChenG, ZhangH, ShengC-dong. Development of non-isothermal TGA–DSC for kinetics analysis of low temperature coal oxidation prior to ignition [J]. Fuel, 2014, 118(2): 385-391

[27] CaiK-x, YuanQ, OuyangD-h, LiuA-hua. Spontaneous combustion and forecast method for high-sulfur coal [J]. Mineral Engineering Research, 2009, 24(3): 41-44

[28] CaiK-x, CenD-q, YuanQ, LiuA-hua. Correction theory and method of the coal spontaneous combustion forecasting model [J]. Mineral Engineering Research, 2009, 24(1): 63-67

[29] LiuA-h, CaiK-xu. Study on predicting coal spontaneous combustion and software development [J]. Journal of China Coal Society, 2007, 32(7): 724-728

[30] LiuA-h, CaiK-xu. Research on identification gas for coal spontaneous combustion in Qingshan mine [J]. Coal Science and Technology, 2006, 34(7): 11-13