王林, 姜波, 杨宏民. 含重烃煤吸附CH4-C2H6二元气体实验研究[J]. 煤炭学报, 2016, (11). DOI: 10.13225/j.cnki.jccs.2016.0104
引用本文: 王林, 姜波, 杨宏民. 含重烃煤吸附CH4-C2H6二元气体实验研究[J]. 煤炭学报, 2016, (11). DOI: 10.13225/j.cnki.jccs.2016.0104
WANG Lin, JIANG Bo, YANG Hong-min. Experimental study on the adsorption of binary gas CH4 -C2H6 in heavy hydrocarbon coal[J]. Journal of China Coal Society, 2016, (11). DOI: 10.13225/j.cnki.jccs.2016.0104
Citation: WANG Lin, JIANG Bo, YANG Hong-min. Experimental study on the adsorption of binary gas CH4 -C2H6 in heavy hydrocarbon coal[J]. Journal of China Coal Society, 2016, (11). DOI: 10.13225/j.cnki.jccs.2016.0104

含重烃煤吸附CH4-C2H6二元气体实验研究

Experimental study on the adsorption of binary gas CH4 -C2H6 in heavy hydrocarbon coal

  • 摘要: 为研究含重烃煤层气体的吸附特性,利用自制的混合气体吸附/解吸实验装置,对不同组分配比的CH4-C2H6二元气体进行等温吸附测试,分析了混合气体吸附特征参数与平衡压力和组分配比之间的定量关系,并据此建立了二元混合气体吸附预测模型。结果表明:在相同平衡压力下,煤样对单组分C2H6的吸附能力明显大于煤样对CH4的吸附能力。压力增加,CH4-C2H6二元混合气体中C2H6优先吸附,游离相摩尔分数快速下降。混合气体的吸附摩尔比与吸附压力呈指数函数关系,参量与组分配比呈线性关系。通过新模型预测的各组分吸附量与实测结果之间的误差小于5%。

     

    Abstract: In order to study the adsorption characteristics of gas in heavy hydrocarbon coal,the isothermal adsorption processes of different component ratios with the binary gas CH4 -C2 H6 were experimented using the self-made adsorp- tion / desorption device of mixed gas. The quantitative relationship between the adsorption characteristic parameters of the mixed gas,the equilibrium pressure and the component ratio were analyzed,hereby,the adsorption prediction mod- el of binary gas was established. The results showed that under the same equilibrium pressure,the adsorption capacity of coal sample for one component C2 H6 was significantly higher than that of one component CH4 . With the pressure in- crease,the gas of C2 H6 was preferably adsorbed in the binary gas,and the free phase molar fraction rapidly declined. The molar ratio of adsorption and the adsorption equilibrium pressure showed an exponential function,and the parame- ters were linearly related to the component ratio. The error between the respective adsorption capacity and the experi- mental results was less than 5% through the new prediction model.

     

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