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首页> 外文期刊>Journal of natural gas science and engineering >Line prediction technology for forecasting coal and gas outbursts during coal roadway tunneling
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Line prediction technology for forecasting coal and gas outbursts during coal roadway tunneling

机译:煤巷掘进过程中煤与瓦斯突出的线预测技术

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The advantages and disadvantages of existing methods for predicting coal and gas outbursts in coal roadways were analyzed, and the primary factors influencing coal and gas outbursts, including the expansion energy of the initially released gases, were studied. To this end, a theoretical formula for calculating the amount of gas released from boreholes during drilling was deduced. In addition, it was determined that the gas emission per unit borehole length was related to the ground stress, gas pressure, and coal strength around the borehole during drilling. By collecting these continuously released gases from boreholes during drilling, that is, by adopting line prediction technology, the influence of those parameters (ground stress, gas pressure, coal strength) on the outburst process can be determined, and the outburst hazard can be predicted. To test this approach, a specially developed line prediction device was applied to the No. 3 coal seam of the Xinyuan coal mine, Shanxi Province, China. The test results demonstrate that the gas emissions per meter of borehole, Q(Lm), measured by the line prediction technique differed between outburst and non-outburst samples. Additionally, compared with existing indices used for predicting coal and gas outbursts in coal roadways, including K-1 and S-max, the line prediction technique was more sensitive and could reflect the outburst hazard in front of working faces more accurately. (C) 2016 Elsevier B.V. All rights reserved.
机译:分析了煤巷中煤与瓦斯突出预测方法的优缺点,研究了影响煤​​与瓦斯突出的主要因素,包括初释气体的膨胀能。为此,推导了用于计算在钻孔期间从钻孔释放的气体量的理论公式。另外,确定了在钻孔期间每单位钻孔长度的气体排放量与地面应力,气体压力和钻孔周围的煤强度有关。通过在钻孔过程中从钻孔中收集这些连续释放的气体,即通过采用线预测技术,可以确定这些参数(地应力,气压,煤强度)对突出过程的影响,并可以预测突出危险性。为了测试该方法,将专门开发的线预测设备应用于中国山西省新源煤矿的3号煤层。测试结果表明,通过管道预测技术测量的每米井眼瓦斯排放量Q(Lm)在突出样本和非突出样本之间是不同的。此外,与用于预测煤巷(包括K-1和S-max)中煤与瓦斯突出的现有指标相比,线预测技术更加灵敏,可以更准确地反映工作面前方的突出危险。 (C)2016 Elsevier B.V.保留所有权利。

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