废弃矿井残煤吸附储气模型

San Zhao, Xiangjun Chen, Lin Wang, Lin Li
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引用次数: 0

摘要

由于缺乏准确的废弃矿山瓦斯资源评价模型,中国废弃矿山瓦斯资源的开发利用尚处于初步勘探阶段。为此,为了应对问题的精确评估的吸附状态天然气资源储量剩余煤炭,金城的3号煤层煤矿作为研究对象,通过分析环境气体压力和温度的演变的残留废弃矿井煤炭,和模拟压力和温度环境中残留煤,剩余的气体吸附实验煤进行了在这种环境下,结合吸附理论,建立了残煤储气模型。结果表明,压力对残余煤吸附气体有积极影响,而温度对残余煤吸附气体有消极影响。吸附势随压力升高而逐渐减小,随温度升高而增大,吸附空间随压力升高而增大,随温度升高而减小。两种方法得到的吸附特征曲线均与温度无关,形状为多项式,方法1拟合的相关系数普遍高于方法2。两种方法的吸附特性曲线在k = 2.5时拟合最好,因此在计算虚拟饱和蒸汽压时取k值为2.5最为合适。方法1和方法2的预测值与实测值的平均相对误差分别为2.98%和7.13%。方法1的预测效果显著优于方法2,满足工程应用要求;因此,采用方法1建立了废弃矿井残煤吸附储气能力模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gas Storage Model of Residual Coal Adsorption in Abandoned Mine
Due to the insufficient accurate evaluation model of gas resources in abandoned mines, the development and utilization of abandoned mine gas resources in China are still in the preliminary exploration stage. To this end, in response to the problem of imprecise assessment of gas resource reserves in the adsorbed state of residual coal, the No. 3 coal seam in Jincheng mine was used as the research object, by analyzing the evolution of the ambient gas pressure and temperature of the residual coal in the abandoned mine, and simulating the pressure and temperature environment in which the residual coal is located, the gas adsorption experiment of the residual coal was carried out in this environment, and a gas storage model of the residual coal was constructed with the combination of the adsorption theory. The results show that pressure has a positive effect on gas adsorption by residual coal, while temperature has a negative effect on it. The adsorption potential gradually decreases with increasing pressure and increases with increasing temperature, while the adsorption space increases with increasing pressure and decreases with increasing temperature. The adsorption characteristic curves obtained by the two methods are temperature independent and polynomial in shape, and the fitted correlation coefficient of method 1 is generally higher than that of method 2. The adsorption characteristic curves of two methods are best fitted at k = 2.5 , so the value of k is most appropriately taken as 2.5 when calculating the virtual saturation vapour pressure. The average relative errors between the predicted and measured values of method 1 and 2 were 2.98% and 7.13%, respectively. The prediction effect of method 1 was significantly better than that of method 2 and met the requirements of engineering applications; therefore, method 1 was used to establish a model for the adsorbed gas storage capacity of residual coal in abandoned mines.
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