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Safety line method for the prediction of deep coal-seam gas pressure and its application in coal mines

机译:安全线法预测深部煤层瓦斯压力及其在煤矿中的应用

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摘要

Gas pressure is an important index for evaluating the outburst risk and determining the gas content in coal seams. It is recommended to predict coal-seam gas pressure of the workface at deep levels before extending mining activities to deeper levels. According to the prediction results, measurements are taken for gas outburst prevention and control and for workload estimation. At present, regression methods are always used to process the numerous gas pressure data for prediction. Because there are many factors that influence the gas pressure which could lead to a deviation from actual values, the measured data do not possess basic conditions for regression methods; this can cause unexpected dangers if the methods are adopted. Based on a statistical analysis of actual measured results of coal-seam gas pressure in a same geological section in certain coal mine, two symbol measured points are selected to make a line for prediction, i.e. safety line, and the other measured points should be below the line except the abnormal points due to the confined water. It has been successfully applied in numerous coal mines in China. Particularly, this method is analyzed in this paper for the case of the No. 8_2 coal seam in the Taoyuan coal mine in Huaibei coalfield, China. By comparatively analyzing the relationship between gas pressure and depth from surface using regression methods, it is found that the safety line method could lead to a better prediction for deep coal-seam gas pressure, and therefore promote early warning ability and mining safety.
机译:瓦斯压力是评估突出风险和确定煤层瓦斯含量的重要指标。建议在将开采活动扩展到更深层次之前,预测深处工作面的煤层瓦斯压力。根据预测结果,采取措施预防和控制瓦斯突出和估算工作量。目前,总是使用回归方法来处理大量的气压数据以进行预测。由于影响气压的因素很多,可能会导致与实际值的偏差,因此测量数据不具备回归方法的基本条件。如果采用这些方法,可能会导致意外的危险。基于对某煤矿同一地质段煤层气压力实际测量结果的统计分析,选择两个符号测量点作为预测线,即安全线,其他测量点应在下方除因承压水而导致的异常点外,该线路。它已成功应用于中国众多煤矿。特别是针对淮北煤田桃园煤矿8_2煤层的开采方法进行了分析。通过使用回归方法比较分析瓦斯压力与地表深度之间的关系,发现安全线方法可以更好地预测深部煤层瓦斯压力,从而提高预警能力和采矿安全性。

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