A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas
文献类型:期刊论文
作者 | Xu, Zhipeng2,3; Lin, Mian1,2; Jiang, Wenbin1,2; Ji, Lili1,2; Xu, Leige3; Cao, Gaohui2; Lin M(林缅); Jiang WB(江文滨); Jiang WB(江文滨); Ji LL(姬莉莉) |
刊名 | MARINE AND PETROLEUM GEOLOGY |
出版日期 | 2024-02-01 |
卷号 | 160页码:15 |
ISSN号 | 0264-8172 |
关键词 | Tight sandstone gas Permeability Multiscale petrophysics Pore network coupling modeling |
DOI | 10.1016/j.marpetgeo.2023.106600 |
通讯作者 | Lin, Mian(linmian@imech.ac.cn) ; Xu, Leige() |
英文摘要 | Tight sandstone has multiscale pore structures. Gas transport in tight sandstones involves several length scales and the complicated physics. Gas transport characteristics in tight sandstone can be represented by apparent gas permeability. Microstructure-based accurate and efficient calculation of gas permeability is challenging. By combining CT and SEM images along with statistical analysis, we present a novel pore network-based multiscale coupled model (MCPNM) to rapidly predict the apparent gas permeability. CT images are adopted to extract the large-scale pore network (LPNM) and the clay component, and SEM image is used to get the properties of smallscale pores. Upscaled model (UM) of small-scale pores is built via statistical analysis and then assigned to the clay domains. The LPNM and UM are coupled as MCPNM by the cross-scale connection structure with variable diameter. The pore spaces at several length scales and the flow characteristics in them are included in the MCPNM. We validate the MCPNM by comparing the calculated apparent gas permeability to the results of available multiscale pore network models and the experimental data. Compared with the available multiscale pore network models, MCPNM solves the accuracy/efficiency trade-off of tight gas permeability prediction. The effects of pressure, temperature, and gas type on gas permeability are studied. The MCPNM simplifies the permeability calculation process and can accurately and rapidly predict tight sandstone gas permeability. |
WOS关键词 | PETROPHYSICAL CHARACTERIZATION ; POROUS-MEDIA ; FLOW ; MICROPOROSITY ; EXTRACTION |
资助项目 | National Natural Science Foundation of China[42030808] ; Science and Technology Research Project of Henan Province[232102321130] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010304] |
WOS研究方向 | Geology |
语种 | 英语 |
WOS记录号 | WOS:001130187600001 |
资助机构 | National Natural Science Foundation of China ; Science and Technology Research Project of Henan Province ; Strategic Priority Research Program of the Chinese Academy of Sciences |
源URL | [http://dspace.imech.ac.cn/handle/311007/93758] |
专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
通讯作者 | Lin, Mian; Xu, Leige |
作者单位 | 1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China 3.North China Univ Water Resources & Elect Power, Sch Civil Engn & Commun, Zhengzhou 450045, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Zhipeng,Lin, Mian,Jiang, Wenbin,et al. A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas[J]. MARINE AND PETROLEUM GEOLOGY,2024,160:15. |
APA | Xu, Zhipeng.,Lin, Mian.,Jiang, Wenbin.,Ji, Lili.,Xu, Leige.,...&徐志朋.(2024).A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas.MARINE AND PETROLEUM GEOLOGY,160,15. |
MLA | Xu, Zhipeng,et al."A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas".MARINE AND PETROLEUM GEOLOGY 160(2024):15. |
入库方式: OAI收割
来源:力学研究所
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