Research on the Adsorption Characteristics and Adsorption Capacity Predictions of Supercritical Methane in Deep Coal Seams
2025
Xuan Chen | Chao Wu | Hua Zhang | Shiqi Liu | Xinggang Wang | Hongwei Li | Zongsen Yao | Kaisaer Wureyimu | Fansheng Huang | Zhongliang Cao
In the development of deep coalbed methane (CBM) resources, the adsorption behavior of supercritical methane is a key factor restricting reserve evaluation and development efficiency. This study integrates scanning electron microscopy (SEM), low-temperature CO2 adsorption (LTCO2A), mercury intrusion porosimetry (MIP), high-temperature and high-pressure CH4 adsorption experiments (HTHP-CH4A), and theoretical models to reveal the pore&ndash:fracture structure of deep coal seams and the adsorption characteristics of supercritical methane. Based on a predictive model for supercritical methane adsorption capacity, the adsorption capacity of deep methane was predicted. Results show that micro-pores are well-developed in deep coal rocks, but pore connectivity is generally poor, predominantly consisting of fine bottleneck pores and semi-closed pores, with a certain proportion of open pores. The fractal dimension (Dm) of micro-pore structures in deep coal samples ranges from 2.0447 to 2.2439, indicating high micro-pore surface roughness and a large specific surface area, which provide favorable sites for methane adsorption. Pores larger than 100 nm exhibit fractal values between 2.6459 and 2.8833, suggesting that the pore surfaces in deep coal seams approach a three-dimensional pore space with rough surfaces and complex pore structures. As temperature and pressure enter the supercritical region, the adsorption capacity shows an abnormal trend of &ldquo:first increasing and then decreasing&rdquo: with increasing pressure. The deep coal rock&ndash:supercritical methane adsorption system exhibits two scenarios in low-pressure and high-pressure regions, corresponding to self-adsorption driven by strong methane adsorption potential and external force adsorption or overpressure micro-pore adsorption, respectively. The supercritical adsorption prediction model considering temperature and methane adsorption phase density has extremely low deviation (1.11&ndash:1.25%) and high accuracy. The average dispersion between predicted and actual values ranges from 0.44 cm3/g to 0.48 cm3/g, with small error fluctuations and no significant deviation. This study provides theoretical support for the recoverability evaluation and efficient development of deep CBM resources.
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