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The nanopore structure of unconventional gas reservoirs is intimately correlated with the accumulation, mobility and recovery of coal bed methane. To comprehend the pore properties better, PV, SSA, PSD and connectivity of subbituminous coal from the Jharia basin has been determined. While low pressure Nitrogen gas adsorption was excellent in identifying the Mesopore region, low pressure CO2 gas adsorption was more effective at accessing micropores. Regarding the analysis of the adsorption mechanism, Langmuir equation, Barrett-Joyner-Halenda (BJH), Brunauer–Emmett–Teller (BET) and Non-Local Density Functional Theory (NLDFT) were utilized. Using the Frenkel Halsey Hill (FHH) method, the nitrogen adsorption results was applied to determine Dv1 and Dv2 (fractal dimension from LPGA) for pore structure characterization. Adsorption analysis revealed that the micropore structure of the investigated samples seems to be unimodal and mesopores size distribution are multimodal. The micropore vol. and respective specific surface area obtained by LP CO2 GA varies from 0.00895 to 0.009 cm3/g and 18.935 to 19.022m2/g respectively. As the values of BJH-PV and BET-SSA acquired by LP N2 GA varies within a range of 0.004 and 0.00426 cm3/g and 1.097–1.157 m2/g respectively. There is an observable positive link between BJH-PV, volatile matter, moisture content and Dv1, whereas ash content and Dv2 are shown to be negatively correlated. Further research reveals that Dv1 represents roughness of pore surface and Dv2 represents complicacy of pore network suggesting that these are efficient factors to explain the variation in coal pore morphology.

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Quantitative Evaluation of Sub-Bituminous Coal from Jharia Basin, India: Investigation Using Low Pressure N2 and CO2 Adsorption

  • 会议论文

  • 发表日期：

    2025年

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  • Madhurima Mazumder,
  • Ashutosh Tripathy,
  • T. N. Singh

摘要

The nanopore structure of unconventional gas reservoirs is intimately correlated with the accumulation, mobility and recovery of coal bed methane. To comprehend the pore properties better, PV, SSA, PSD and connectivity of subbituminous coal from the Jharia basin has been determined. While low pressure Nitrogen gas adsorption was excellent in identifying the Mesopore region, low pressure CO2 gas adsorption was more effective at accessing micropores. Regarding the analysis of the adsorption mechanism, Langmuir equation, Barrett-Joyner-Halenda (BJH), Brunauer–Emmett–Teller (BET) and Non-Local Density Functional Theory (NLDFT) were utilized. Using the Frenkel Halsey Hill (FHH) method, the nitrogen adsorption results was applied to determine Dv1 and Dv2 (fractal dimension from LPGA) for pore structure characterization. Adsorption analysis revealed that the micropore structure of the investigated samples seems to be unimodal and mesopores size distribution are multimodal. The micropore vol. and respective specific surface area obtained by LP CO2 GA varies from 0.00895 to 0.009 cm3/g and 18.935 to 19.022m2/g respectively. As the values of BJH-PV and BET-SSA acquired by LP N2 GA varies within a range of 0.004 and 0.00426 cm3/g and 1.097–1.157 m2/g respectively. There is an observable positive link between BJH-PV, volatile matter, moisture content and Dv1, whereas ash content and Dv2 are shown to be negatively correlated. Further research reveals that Dv1 represents roughness of pore surface and Dv2 represents complicacy of pore network suggesting that these are efficient factors to explain the variation in coal pore morphology.