Permeability is an important indicator for predicting gas drainage yield and preventing mine gas disasters. Gas permeability coefficient derived from the permeability is introduced in this work to develop a model of methane adsorption of coal particle based on Darcy's permeation, which is solved by our self-developed software, and then the methane isothermal adsorption of six granular coal samples are measured by quasi-constant pressure adsorption experiments. A new inversion approach for gas permeability coefficient of coal particle is performed by matching simulation results with experiment data. Meanwhile, the impacts of adsorption pressure and coal rank on gas permeability coefficient are also analyzed quantitatively. The results show that (i) a suitable gas permeability coefficient of coal particle can be determined by adjusting simulated curve to match with experimental data, which verifies the feasibility and effectiveness of the inversions; (ii) the gas permeability coefficient of coal particle decreases exponentially as the adsorption pressure or volatile matter content grows. This research provides an alternative approach to determine the permeability of granular coal samples and we hope it will bring some references to researchers.

渗透率是预测瓦斯抽采量和预防矿井瓦斯灾害的重要指标。介绍了由渗透率推导的瓦斯渗透率系数，建立了基于达西渗透率的煤颗粒甲烷吸附模型，并用我们自己开发的软件对其求解，然后测定了6个颗粒煤样品的甲烷等温吸附。通过准恒压吸附实验。通过将模拟结果与实验数据进行匹配，提出了一种新的煤颗粒透气系数反演方法。同时，还定量分析了吸附压力和煤级对气体渗透系数的影响。结果表明：（i）通过调整模拟曲线与实验数据相匹配，可以确定合适的煤粉透气系数，验证了反演的可行性和有效性。（ii）随着吸附压力或挥发性物质含量的增加，煤颗粒的气体渗透系数呈指数下降。这项研究为确定粒状煤样品的渗透性提供了另一种方法，我们希望它将为研究人员提供一些参考。