游离相体积对瓦斯吸附量表征的影响实验研究

    Experimental study on the influence of free-phase volume on characterization of gas adsorption capacity

    • 摘要: 为探究游离相体积对瓦斯吸附量的影响,采用容量法开展了吸附量测定实验,分析了游离相体积对瓦斯吸附量及吸附常数的影响特征,并构建了瓦斯吸附常数修正模型。研究表明:高压下真实游离相体积与视游离相体积存在显著差异,游离相体积对具有强吸附能力煤的瓦斯吸附量及吸附常数影响显著;相同煤样条件下,压力越大,真实游离相体积偏差越大;不同煤样、相同压力条件下,吸附能力越强,真实游离相体积偏差越大;游离相体积每减小1 cm3,瓦斯吸附量最大增加0.864 0 cm3/g,即游离相体积每减小1%,瓦斯吸附量最大增幅0.86%;使用真实游离相体积计算瓦斯吸附量,可有效避免“负吸附”现象及吸附等温线在高压下出现下降趋势的情况;与视瓦斯吸附常数相比,真实瓦斯吸附常数a值大、b值小,利用偏差量构建的瓦斯吸附常数修正模型具有较高的可靠性和广泛适用性,可显著提升测试精度与效率。

       

      Abstract: To investigate the effect of free-phase volume on gas adsorption capacity, adsorption measurements were carried out using the volumetric method. The influence characteristics of free-phase volume on gas adsorption capacity and adsorption constants were analyzed, and a correction model for gas adsorption constants was established. The results show that significant differences exist between the real free-phase volume and the apparent free-phase volume under high pressure. The free-phase volume has a remarkable influence on the gas adsorption capacity and adsorption constants of coal with strong adsorption ability. Under the same coal sample conditions, the deviation of the real free-phase volume increases with rising pressure. For different coal samples under the same pressure, a stronger adsorption capacity leads to a larger deviation in the real free-phase volume. The gas adsorption capacity increases by a maximum of 0.8640 cm3/g for every 1 cm3 reduction in free-phase volume, meaning that the gas adsorption capacity increases by up to 0.86% for each 1% decrease in free-phase volume. Using the real free-phase volume to calculate gas adsorption capacity can effectively avoid the occurrence of the “negative adsorption” phenomenon and the downward trend of adsorption isotherms under high pressure. Compared with the apparent gas adsorption constants, the real gas adsorption constant a is larger and b is smaller. The correction model for gas adsorption constants established based on the deviation shows high reliability and wide applicability, and can significantly improve testing accuracy and efficiency.

       

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