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王世超, 潘凤龙, 申健. 煤与瓦斯突出预测敏感指标确定及应用[J]. 煤炭科学技术, 2013, (5).
引用本文: 王世超, 潘凤龙, 申健. 煤与瓦斯突出预测敏感指标确定及应用[J]. 煤炭科学技术, 2013, (5).
Application and Determination on Prediction Sensitive Index of Coal and Gas Outburst[J]. COAL SCIENCE AND TECHNOLOGY, 2013, (5).
Citation: Application and Determination on Prediction Sensitive Index of Coal and Gas Outburst[J]. COAL SCIENCE AND TECHNOLOGY, 2013, (5).

煤与瓦斯突出预测敏感指标确定及应用

Application and Determination on Prediction Sensitive Index of Coal and Gas Outburst

  • 摘要: 为了防止突出煤层在煤巷掘进中发生突出,减少防突措施工程量,基于模糊数学与多元统计分析理论,建立突出预测指标敏感度函数数学模型,将预测指标敏感度定量化,通过定量与定性对比分析确定突出预测敏感指标。在某煤矿021710掘进工作面的应用实践表明:钻屑瓦斯解吸指标Δh2较钻屑量S更为敏感,运用Δh2指标预测掘进工作面突出危险性,可减少防突工程量,实现煤巷快速安全掘进。

     

    Abstract: In order to prevent outburst danger occurred in the seam gateway driving in outburst seam and to reduce the engineering workload of the outburst preve ntion measures, based on the fuzzy mathematics and multivariate statistical analysis theory, a mathematics model of the outburst prediction index sensitivity function W as established.The prediction index sensitivity was quantified and with the quantification and qualitative comparison analysis, the outburst prediction sensitive index wa s determined.The application practices in No.021710 driving face of a mine showed that the gas desorption index Oh2 of the drilling cuttings was more sensitive than th e drilling cutting index S.The index△h2 applied to predict outburst danger of the driving face could reduce the engineering workload of the outburst prevention and coul d realize the rapid and safe driving of the seam gateway.

     

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