中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1016/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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