Correlation Between and Mechanisms of Gas Desorption and Infrasound Signals

IF 4.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Sijie Yang, Yuanping Cheng, Yang Lei, Zhuang Lu, Xiaoxi Cheng, Hao Wang, Kuo Zhu
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引用次数: 0

Abstract

Coal and gas desorption, as a major form of gas energy release, is a key factor in triggering coal and gas outbursts. Therefore, studying the physical characteristics during coal and gas desorption is essential for understanding the development process of coal and gas outbursts. Based on gas dynamics during coal particle gas desorption, this study established a connection between gas desorption and infrasound signals, elaborating on the generation mechanism of infrasound signals during coal particle gas desorption and validating the feasibility of the theory through experimental data, thereby demonstrating the spontaneous occurrence of subsonic tremors during coal particle gas desorption. Combining observational data, it was found that the peak value of infrasound signals generated during desorption experiments is correlated positively with the initial pressure; while, the dominant frequency of infrasound signals is influenced by the proportion of intergranular pores and fractures within the experimental vessel. To further validate the theory of subsonic generation, a mathematical model describing pressure oscillations within intergranular pores, thereby explaining the mechanism of subsonic tremors, was established. The model confirms that the generation and characteristics of infrasound signals are controlled by the parameters of intergranular pores in coal samples. The model effectively simulates changes in the characteristics of infrasound signal tremors during desorption under different conditions, confirming that the physical properties of intergranular pores are crucial factors influencing the generation of infrasound signals and their characteristics during coal and gas desorption.

气体解吸与次声信号之间的相关性和机制
煤与瓦斯解吸作为瓦斯能量释放的一种主要形式,是引发煤与瓦斯突出的关键因素。因此,研究煤与瓦斯解吸过程中的物理特征对于了解煤与瓦斯突出的发展过程至关重要。本研究以煤粒瓦斯解吸过程中的气体动力学为基础,建立了瓦斯解吸与次声信号之间的联系,阐述了煤粒瓦斯解吸过程中次声信号的产生机理,并通过实验数据验证了理论的可行性,从而证明了煤粒瓦斯解吸过程中次声震源的自发发生。结合观测数据发现,解吸实验过程中产生的次声波信号的峰值与初始压力呈正相关;而次声波信号的主频则受实验容器内晶间孔和裂缝比例的影响。为了进一步验证次声波产生的理论,建立了一个描述晶间孔隙内压力振荡的数学模型,从而解释了次声波震颤的机理。该模型证实,次声波信号的产生和特征受煤样粒间孔隙参数的控制。该模型有效模拟了不同条件下次声信号在解吸过程中的震颤特征变化,证实了粒间孔隙的物理性质是影响煤和瓦斯解吸过程中次声信号的产生及其特征的关键因素。
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来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
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