Multi-scale pore fractal characteristics of differently ranked coal and its impact on gas adsorption
Well-developed pores and cracks in coal reservoirs are the main venues for gas storage and migration. To investigate the multi-scale pore fractal characteristics, six coal samples of different rankings were studied using high-pressure mercury injection (HPMI), low-pressure nitrogen adsorption (LPGA-...
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Published in | International journal of mining science and technology Vol. 33; no. 4; pp. 389 - 401 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.04.2023
Elsevier |
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Abstract | Well-developed pores and cracks in coal reservoirs are the main venues for gas storage and migration. To investigate the multi-scale pore fractal characteristics, six coal samples of different rankings were studied using high-pressure mercury injection (HPMI), low-pressure nitrogen adsorption (LPGA-N2), and scanning electron microscopy (SEM) test methods. Based on the Frankel, Halsey and Hill (FHH) fractal theory, the Menger sponge model, Pores and Cracks Analysis System (PCAS), pore volume complexity (Dv), coal surface irregularity (Ds) and pore distribution heterogeneity (Dp) were studied and evaluated, respectively. The effect of three fractal dimensions on the gas adsorption ability was also analyzed with high-pressure isothermal gas adsorption experiments. Results show that pore structures within these coal samples have obvious fractal characteristics. A noticeable segmentation effect appears in the Dv1 and Dv2 fitting process, with the boundary size ranging from 36.00 to 182.95 nm, which helps differentiate diffusion pores and seepage fractures. The D values show an asymmetric U-shaped trend as the coal metamorphism increases, demonstrating that coalification greatly affects the pore fractal dimensions. The three fractal dimensions can characterize the difference in coal microstructure and reflect their influence on gas adsorption ability. Langmuir volume (VL) has an evident and positive correlation with Ds values, whereas Langmuir pressure (PL) is mainly affected by the combined action of Dv and Dp. This study will provide valuable knowledge for the appraisal of coal seam gas reservoirs of differently ranked coals. |
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AbstractList | Well-developed pores and cracks in coal reservoirs are the main venues for gas storage and migration. To investigate the multi-scale pore fractal characteristics, six coal samples of different rankings were studied using high-pressure mercury injection (HPMI), low-pressure nitrogen adsorption (LPGA-N2), and scanning electron microscopy (SEM) test methods. Based on the Frankel, Halsey and Hill (FHH) fractal theory, the Menger sponge model, Pores and Cracks Analysis System (PCAS), pore volume complexity (Dv), coal surface irregularity (Ds) and pore distribution heterogeneity (Dp) were studied and evaluated, respectively. The effect of three fractal dimensions on the gas adsorption ability was also analyzed with high-pressure isothermal gas adsorption experiments. Results show that pore structures within these coal samples have obvious fractal characteristics. A noticeable segmentation effect appears in the Dv1 and Dv2 fitting process, with the boundary size ranging from 36.00 to 182.95 nm, which helps differentiate diffusion pores and seepage fractures. The D values show an asymmetric U-shaped trend as the coal metamorphism increases, demonstrating that coalification greatly affects the pore fractal dimensions. The three fractal dimensions can characterize the difference in coal microstructure and reflect their influence on gas adsorption ability. Langmuir volume (VL) has an evident and positive correlation with Ds values, whereas Langmuir pressure (PL) is mainly affected by the combined action of Dv and Dp. This study will provide valuable knowledge for the appraisal of coal seam gas reservoirs of differently ranked coals. |
Author | Nie, Baisheng Ren, Ting Yang, Xiaohan Tan, Lihai Li, Xiangchun Li, Zhongbei Qiao, Ming |
Author_xml | – sequence: 1 givenname: Zhongbei orcidid: 0000-0001-8518-3309 surname: Li fullname: Li, Zhongbei organization: School of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, New South Wales 2522, Australia – sequence: 2 givenname: Ting orcidid: 0000-0002-1414-2988 surname: Ren fullname: Ren, Ting email: tren@uow.edu.au organization: School of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, New South Wales 2522, Australia – sequence: 3 givenname: Xiangchun surname: Li fullname: Li, Xiangchun organization: School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing 100083, China – sequence: 4 givenname: Ming surname: Qiao fullname: Qiao, Ming organization: School of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, New South Wales 2522, Australia – sequence: 5 givenname: Xiaohan surname: Yang fullname: Yang, Xiaohan organization: School of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, New South Wales 2522, Australia – sequence: 6 givenname: Lihai surname: Tan fullname: Tan, Lihai organization: School of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, New South Wales 2522, Australia – sequence: 7 givenname: Baisheng surname: Nie fullname: Nie, Baisheng organization: State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing 400044, China |
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Keywords | Fractal theory Differently ranked coal Fractal characteristics Multi-scale pore structure Coalbed gas adsorption |
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SubjectTerms | Coalbed gas adsorption Differently ranked coal Fractal characteristics Fractal theory Multi-scale pore structure |
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Title | Multi-scale pore fractal characteristics of differently ranked coal and its impact on gas adsorption |
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