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邓军, 李贝, 李珍宝, 张莹, 关欣杰. 预报煤自燃的气体指标优选试验研究[J]. 煤炭科学技术, 2014, (1).
引用本文: 邓军, 李贝, 李珍宝, 张莹, 关欣杰. 预报煤自燃的气体指标优选试验研究[J]. 煤炭科学技术, 2014, (1).
DENG Jun LI Bei LI Zhen-bao ZHANG Ying GUAN Xin-jile, . Experiment Study on Gas Indexes Optimization for Coal Spontaneous Combustion Prediction[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (1).
Citation: DENG Jun LI Bei LI Zhen-bao ZHANG Ying GUAN Xin-jile, . Experiment Study on Gas Indexes Optimization for Coal Spontaneous Combustion Prediction[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (1).

预报煤自燃的气体指标优选试验研究

Experiment Study on Gas Indexes Optimization for Coal Spontaneous Combustion Prediction

  • 摘要: 通过煤自燃程序升温试验对峁底煤矿预报煤自燃气体指标进行试验研究,利用试验得到煤氧化热解过程中各阶段的气体组分和浓度,通过格氏火灾系数和链烷比等方法对试验所得数据进行处理分析,依据指标气体优选原则,选取CO浓度、第二火灾系数R2、链烷比φ(C2H6)/φ(CH4)作为判断峁底煤矿煤自燃的主要气体指标;以CH4浓度、C2H4浓度、C2H6浓度、第一火灾系数R1和第三火灾系数R3以及烯烷比作为辅助气体指标;峁底煤矿煤样的自燃临界温度为60~70℃,干裂温度为110~130℃。该方法对于快速有效判断煤炭自燃阶段和程度,预测预报煤层自燃有一定的指导作用。

     

    Abstract: An experiment study was conducted on the gas indexes for coal spontaneous combustion prediction in Maodi Mine with the programmed temperature ris e experiment of coal spontaneous combustion. With the gas components and concentration obtained at each stage of the coal oxidation pyrolysis process, the data obt ained 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 ratioφ( 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 fir e 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 °C and dry cracking temperature was 110 ~ 130 °C 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.

     

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