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Research on multi-parameter inversion of the phenomenon of gob breathing induced by atmospheric pressure fluctuation
Energy Exploration & Exploitation ( IF 1.9 ) Pub Date : 2022-03-15 , DOI: 10.1177/01445987221087496
Bing Wu 1 , Binbin He 1 , Chenguang Zhao 1 , Baiwei Lei 1, 2
Affiliation  

It is significant to predict the gas emission in the mine gob accurately for gas drainage to prevent accidents and ensure safe production. The change of atmospheric pressure makes the gas emission in the mine gob presents a “breathing phenomenon”, which causes the gas concentration in the return airway of the working face fluctuates even if there are no other disturbances. The gas emission of the return airway in mine working face is affected by many factors, so it is difficult to analyze the influences of atmospheric pressure fluctuations on the gas emission of mine gob. In order to reduce interference factors, by continuously monitoring the gas concentration in the return airway of a does not work mine, in the meantime, simultaneously monitoring and analyzing the atmospheric pressure on the ground, this paper studies the influence rules of atmospheric pressure on gas emission in goaf. And a new multi-parameter mathematical model for gas emission in gob is developed, the Particle Swarm Optimization algorithm (PSO) is used to invert the optimal parameters, and the model is verified by random monitoring data. The results show that the model can accurately indicate the influence of atmospheric pressure on gas emission in the gob. The faster the ground atmospheric pressure decreases, the higher the gas emission rate of the gob is, and the faster the ground atmospheric pressure increases, the lower the gas emission rate is. In addition, the mathematical model can also invert the effective permeability and effective porosity of the gob, which provides a new idea for the prediction of gas emission from goaf and the evolution characteristics of permeability in goaf.

中文翻译:

大气压力波动引起采空区呼吸现象的多参数反演研究

准确预测采空区瓦斯排放量,对瓦斯抽放、预防事故、保障安全生产具有重要意义。大气压力的变化使采空区瓦斯排放呈现出“呼吸现象”,即使没有其他扰动,工作面回风道瓦斯浓度也会出现波动。矿山工作面回风道瓦斯排放受多种因素影响,难以分析大气压力波动对采空区瓦斯排放的影响。为减少干扰因素,通过对不工作矿井回风道瓦斯浓度的连续监测,同时对地面大气压力进行监测分析,本文研究了大气压力对采空区瓦斯排放的影响规律。并建立了一种新的采空区瓦斯排放多参数数学模型,采用粒子群优化算法(PSO)对最优参数进行反演,并通过随机监测数据对模型进行验证。结果表明,该模型能够准确地反映大气压力对采空区瓦斯排放的影响。地面大气压下降越快,采空区瓦斯排放率越高,地面大气压上升越快,瓦斯排放率越低。此外,数学模型还可以反演采空区的有效渗透率和有效孔隙度,
更新日期:2022-03-15
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