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《Geological Journal of China Universities》 2012-03
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Adsorption Behavior and Abundance Predication Model of Deep Coalbed Methane

ZHAO Lijuan, QIN Yong, SHEN JianKey Laboratory of Coalbed Methane Resources and Reservoir Formation Process (CUMT), Ministry of Education,China University of Mining and Technology, Xuzhou 221116, China  
Occurrence of coalbed methane (CBM) content in deep coal seam with rare measured data is different from that in shallow seam, and a new method is demanded to predicte deep CBM content. Based on the isothermal methane adsorption experiments of coal samples under various temperature and pressure, geological controls of coal adsorption constants was discussed and a prediting method for deep CBM content was established with principal component analysis in a case of the main coal seam in the eastern Ordos Basin. Three principal components were extracted from the six factors including temperature, maximum vitrinite reflectance, moisture content, ash yield, inertinite group and vitrinite group contents. A predicting model of coal adsorption constants was suggested. A predicating model of deep CBM content was set up based on the Langmuir equation combining with gas saturation. Using the models, deep CBM content in the eastern Ordos Basin was predicted. It was shown that there is a critical depth in the correlation of CBM content to depth of coal seam. The critical depth ranges roughly from 750 m to 1200 m, and changes with the coal rank, pressure and temperature. CBM content enhances with increasing the depth when the burial depth is shallower than the critical depth, and reduces with increasing the depth when the burial depth is deeper than the critical depth.
【Fund】: 江苏省普通高校研究生科研创新计划项目(CXZZ12-0947);; 国家科技重大专项(2011ZX05033-03 2011ZX05034);; 国家自然科学基金重点项目(40730422)
【CateGory Index】: P618.13
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