陈进朝, 王兆丰, 杨宏民, 夏会辉, 陈立伟. K1值预测时低指标突出现象的原因分析及解决方法[J]. 煤矿安全, 2012, 43(6): 145-147.
    引用本文: 陈进朝, 王兆丰, 杨宏民, 夏会辉, 陈立伟. K1值预测时低指标突出现象的原因分析及解决方法[J]. 煤矿安全, 2012, 43(6): 145-147.
    CHEN Jin-chao, WANG Zhao-feng, YANG Hong-min, XIA Hui-hui, CHEN Li-wei. The Cause Analysis and Solutions of Low-index Outburst Phenomenon During K1 Value Forecast[J]. Safety in Coal Mines, 2012, 43(6): 145-147.
    Citation: CHEN Jin-chao, WANG Zhao-feng, YANG Hong-min, XIA Hui-hui, CHEN Li-wei. The Cause Analysis and Solutions of Low-index Outburst Phenomenon During K1 Value Forecast[J]. Safety in Coal Mines, 2012, 43(6): 145-147.

    K1值预测时低指标突出现象的原因分析及解决方法

    The Cause Analysis and Solutions of Low-index Outburst Phenomenon During K1 Value Forecast

    • 摘要: 钻屑瓦斯解吸指标K1值作为突出危险性预测和效果检验的一个重要指标,测试结果的准确性直接影响到煤层是否具有突出危险性。实验室及现场研究发现,"混样"是影响突出预测预报准确性的重要因素。通过现场试验,采用定点取样器取样可解决"混样"的问题,从而提高预测预报的准确率,最终可有效防止所谓的"低指标突出"的发生。

       

      Abstract: Drill cuttings gas desorption index K1 value is an important indicator of outburst prediction and effect testing.Accuracy of test results directly affect whether there is a outburst risk in coal seam.Laboratory and field studies found that the mixed sample was an important factor in affecting the accuracy of outburst forecast.Through field test,using positional sampler can solve the problem of mixed sample and improve the forecasting accuracy,which ultimately can effectively prevent the occurrence of the so-called "low-index outburst ".

       

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