煤炭工程 ›› 2024, Vol. 56 ›› Issue (4): 133-137.doi: 10. 11799/ ce202404020

• 研究探讨 • 上一篇    下一篇

基于瓦斯含量反演的工作面瓦斯涌出量动态预测研究

朱墨然   

  1. 1. 煤矿灾害防控全国重点实验室,重庆 400037
    2. 中煤科工集团重庆研究院有限公司,重庆 400037
  • 收稿日期:2022-08-23 修回日期:2022-11-25 出版日期:2023-04-20 发布日期:2024-12-09
  • 通讯作者: ZHU Moran E-mail:470618820@qq.com

Study on dynamic prediction method of gas emission in working face based on gas content inversion

  • Received:2022-08-23 Revised:2022-11-25 Online:2023-04-20 Published:2024-12-09
  • Contact: ZHU Moran 11 E-mail:470618820@qq.com

摘要:

为解决煤矿采掘工作面瓦斯涌出量无法实时准确预测的问题,通过对采掘工作面瓦斯涌出来源和影响因素进行分析,阐述了工作面瓦斯含量反演的难点和处理方法, 在此基础上建立了瓦斯含量反演模型,提出基于瓦斯含量反演的工作面瓦斯涌出量动态预测方法。该预测方法以瓦斯在煤体中的赋存状态是连续变化为前提,通过工作面煤体瓦斯含量反演并结合瓦斯涌出量特征系数的确定来对瓦斯涌出量进行预测。并在陕西象山煤矿进行工业试验,结果表明,该预测方法能够较好地对煤矿工作面瓦斯涌出量进行预测, 瓦斯涌出量预测值与实测值的绝对误差范围在0.09~0.20m3/min 之间,误差百分比控制在20%以内。利用该预测方法能够对采掘工作面瓦斯涌出量进行实时连续预测,保障煤矿安全高效生产。

关键词: 瓦斯含量反演 , 瓦斯涌出量 , 含量预测 , 涌出量预测 , 预测方法

Abstract:

In order to solve the problem that gas emission from coal mining face can not be predicted accurately in real time, the difficulties and treatment methods of gas content inversion in working face are expounded by analyzing the sources and influencing factors of gas emission from mining face. On this basis, the inversion model of gas content is established, and the dynamic prediction method of gas emission from working face based on gas content inversion is put forward. The prediction method is based on the premise that the occurrence state of gas in coal is a continuous change, and the amount of gas emission is predicted through the inversion of coal gas content in working face and the determination of gas emission characteristic coefficient. The industrial test in a coal mine in Shaanxi shows that the prediction method can better predict the amount of gas emission from the coal face. The absolute error range between the predicted value and the measured value of gas emission is between 0.09~0.20m3/min, and the error percentage is controlled within 20%. The application of this prediction method can make real-time and continuous prediction of gas emission from mining face, ensure the safe and efficient production of coal mine, and provide technical support for the prevention of coal and gas outburst and gas overrun.

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