| A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas | |
Xu ZP(徐志朋)1,2 ; Lin M(林缅)2,3; Jiang WB(江文滨)2,3; Ji LL(姬莉莉)2,3; Xu, Leige1; Cao GH(曹高辉)2
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| Corresponding Author | Lin, Mian([email protected]) ; Xu, Leige() |
| Source Publication | MARINE AND PETROLEUM GEOLOGY
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| 2024-02-01 | |
| Volume | 160Pages:15 |
| ISSN | 0264-8172 |
| Abstract | 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. |
| Keyword | Tight sandstone gas Permeability Multiscale petrophysics Pore network coupling modeling |
| DOI | 10.1016/j.marpetgeo.2023.106600 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001130187600001 |
| WOS Keyword | PETROPHYSICAL CHARACTERIZATION ; POROUS-MEDIA ; FLOW ; MICROPOROSITY ; EXTRACTION |
| WOS Research Area | Geology |
| WOS Subject | Geosciences, Multidisciplinary |
| Funding Project | 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] |
| Funding Organization | National Natural Science Foundation of China ; Science and Technology Research Project of Henan Province ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| Classification | 二类/Q1 |
| Ranking | 1 |
| Contributor | Lin, Mian ; Xu, Leige |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/93759 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.North China Univ Water Resources & Elect Power, Sch Civil Engn & Commun, Zhengzhou 450045, Peoples R China; 2.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation 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.Rp_Au:Lin, Mian, Xu, Leige |
| 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. |
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