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Improved Prediction Model for Determining the Lost Gas Content ofExtreme-soft and Outburst-prone Coal Seam

机译:确定超软易爆煤层损失瓦斯含量的改进预测模型

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Few study has been carried out on the desorption rules of extreme-soft and outburst-prone coal in south ofChina, especially coal from Hunan Province of which the value of “f” is normally less than 0.2. Desorption experimentsare conducted on the coal samples from Hongwei and Jiahe Mines in Hunan Province, and the following phenomena canbe observed: the calculating mean error by √t method and power function method of Hongwei coal samples are 29.68%and 68.33%, 28.55% and 70.28% of Jiahe , the calculating result by the two methods is always lower. After comparisonwe find that the √t method is more precise than power function method, so calculation method is improved based on√t method, mean error of gas content determination by the new method in experiment and coal mine are 6.88% and 5.24%, both less than 10%.
机译:对于中国南部极软和易爆煤的解吸规律,很少进行研究,特别是湖南省的煤,其“ f”值通常小于0.2。对湖南省洪卫,嘉禾矿区的煤样进行了解吸实验,发现以下现象:用√t法和幂函数法计算的洪伟煤样的平均误差分别为29.68%和68.33%,28.55%和70.28。两种方法的计算结果总是较低。经过比较,我们发现√t法比幂函数法更精确,因此在√t法的基础上对计算方法进行了改进,实验和煤矿用新方法测定瓦斯含量的平均误差分别为6.88%和5.24%,两者少于10%。

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