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《Coal Science and Technology》 2014-01
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Experiment Study on Gas Indexes Optimization for Coal Spontaneous Combustion Prediction

DENG Jun;LI Bei;LI Zhen-bao;ZHANG Ying;GUAN Xin-jie;Engineering Research Center of West China Coal Safety,Ministry of Education,Xi'an University of Science and Technology;Ministry of Education Key Laboratory of Western Mine Exploration and Hazard Prevention,Xi'an University of Science and Technology;College of Energy,Xi'an University of Science and Technology;College of Continuation Education,Xi'an University of Science and Technology;  
An experiment study was conducted on the gas indexes for coal spontaneous combustion prediction in Maodi Mine with the programmed temperature rise experiment of coal spontaneous combustion. With the gas components and concentration obtained at each stage of the coal oxidation pyrolysis process,the data obtained from the experiments were treated and analyzed with the Grignard fire disaster coefficient,alkane ratio and other methods. According to the optimization principle of gas indexes,the CO concentration,second fire disaster coefficient R 2 and alkane ratio φ( C 2 H 6) /φ( CH 4) were selected as the main gas indexes to adjust coal spontaneous combustion in Maodi Mine. With the CH 4 concentration,C 2 H 4 concentration,C 2 H 6 concentration,the first fire disaster coefficient R 1 and the third fire disaster coefficient R 3 and alkene alkane ratio as the auxiliary gas indexes,the spontaneous combustion critical temperature range of the coal samples from Maodi Mine was 60 ~ 70 ℃ and dry cracking temperature was 110 ~ 130 ℃ were obtained. This method would have certain guide function to effectively adjust the firing stage and degree of the coal spontaneous combustion,as well as to predict and forecast the spontaneous combustion of the seam.
【Fund】: 国家重点基础研究发展计划(973计划)资助项目(2011CB411902);; 教育部创新团队支持计划资助项目(IRT0856);; 国家自然基金重点资助项目(51134019)
【CateGory Index】: TD752.2
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