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Characterization of the pore structure in Chinese anthracite coal using FIB-SEM tomography and deep learning-based segmentation

文献类型：期刊论文

作者Zang, Jie2,5; Liu, Jialong3,4; He, Jiabei2; Zhang, Xiapeng1
刊名ENERGY
出版日期2023-11-01
卷号282页码:17
ISSN号0360-5442
关键词FIB-SEM tomography Deep learning-based segmentation Pore structure in coal Connectivity Primary CBM recovery
DOI10.1016/j.energy.2023.128686
英文摘要Coalbed methane (CBM) is an unconventional natural gas that possesses significant impacts on energy supply, mining safety, and environmental conservation. CBM is primarily stored within the pores of coal, highlighting the significance of pore structures for both methane storage and migration. However, comprehensively under-standing the intricate pore structures in coal pose challenges. This study employed focused ion beam-scanning electron microscopy (FIB-SEM) tomography and deep learning-based segmentation to characterize the pore structures within a Chinese anthracite sample. The obtained pore structures exhibited a considerable degree of disconnection, comprising numerous separate pore components. Isolated pores prevailed in number, while connected pores dominated in surface area and pore volume. Mesopores (100-1000 nm) contributed the most to pore number, surface area, and pore volume. Pore size distribution analysis revealed distinct patterns among different pore structure properties, with pore number exhibiting an intensive distribution while surface area and pore volume displaying dispersed distributions. Pore structure connectivities exhibited a hierarchical nature and held distinct meanings at the levels of pore, pore component, and pore network. The pore structure characteristics observed in this study have implications for primary CBM recovery, emphasizing the necessity to improve connectivity between pore components and fractures to enhance production rates and recoverability.
WOS关键词SCANNING ELECTRON-MICROSCOPY ; X-RAY-SCATTERING ; SIZE DISTRIBUTION ; NANOPORE STRUCTURE ; FRACTURE NETWORKS ; LONGMAXI SHALE ; SORPTION ; ADSORPTION ; METHANE ; PARTICLES
资助项目National Natural Science Foundation of China[2022YQAQ01] ; Fundamental Research Funds for the Central Universities ; [51804312]
WOS研究方向Thermodynamics ; Energy & Fuels
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:001059217000001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities
源URL[http://ir.iggcas.ac.cn/handle/132A11/111414]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Zang, Jie
作者单位1.Shanxi Xinjing Coal Min Co, Yangquan 045000, Peoples R China
2.China Univ Min & Technol, Fac Emergency Management & Safety Engn, Beijing 100083, Peoples R China
3.Beijing Univ Chem Technol, Sch Math & Phys, Dept Phys & Elect, Beijing 100029, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
5.D11 Xueyuan Rd, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zang, Jie,Liu, Jialong,He, Jiabei,et al. Characterization of the pore structure in Chinese anthracite coal using FIB-SEM tomography and deep learning-based segmentation[J]. ENERGY,2023,282:17.
APA Zang, Jie,Liu, Jialong,He, Jiabei,&Zhang, Xiapeng.(2023).Characterization of the pore structure in Chinese anthracite coal using FIB-SEM tomography and deep learning-based segmentation.ENERGY,282,17.
MLA Zang, Jie,et al."Characterization of the pore structure in Chinese anthracite coal using FIB-SEM tomography and deep learning-based segmentation".ENERGY 282(2023):17.

入库方式： OAI收割

来源：地质与地球物理研究所

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