A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas

doi:10.1016/j.marpetgeo.2023.106600

CORC > 力学研究所 > 中国科学院力学研究所 > 流固耦合系统力学重点实验室(2012-)

	A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas
	Xu ZP(徐志朋)2,3; Lin M(林缅)1,2; Jiang WB(江文滨)1,2; Ji LL(姬莉莉)1,2; Xu, Leige 3; Cao GH(曹高辉)2
刊名	MARINE AND PETROLEUM GEOLOGY
	2024-02-01
卷号	160 页码:15
关键词	Tight sandstone gas Permeability Multiscale petrophysics Pore network coupling modeling
ISSN号	0264-8172
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.
分类号	二类/Q1
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关键词	PETROPHYSICAL CHARACTERIZATION ; POROUS-MEDIA ; FLOW ; MICROPOROSITY ; EXTRACTION
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
其他责任者	Lin, Mian ; Xu, Leige
内容类型	期刊论文
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-)
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 ZP,Lin M,Jiang WB,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	徐志朋,林缅,江文滨,姬莉莉,Xu, Leige,&曹高辉.(2024).A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas.MARINE AND PETROLEUM GEOLOGY,160,15.
MLA	徐志朋,et al."A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas".MARINE AND PETROLEUM GEOLOGY 160(2024):15.