Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019272 |
Pore network extraction from pore space images of various porous media systems | |
Yi, Zhixing1,2; Lin, Mian2,3; Jiang, Wenbin2; Zhang, Zhaobin4; Li, Haishan2; Gao, Jian5 | |
2017-04-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:4 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Pore network extraction, which is defined as the transformation from irregular pore space to a simplified network in the form of pores connected by throats, is significant to microstructure analysis and network modeling. A physically realistic pore network is not only a representation of the pore space in the sense of topology and morphology, but also a good tool for predicting transport properties accurately. We present a method to extract pore network by employing the centrally located medial axis to guide the construction of maximal-balls-like skeleton where the pores and throats are defined and parameterized. To validate our method, various rock samples including sand pack, sandstones, and carbonates were used to extract pore networks. The pore structures were compared quantitatively with the structures extracted by medial axis method or maximal ball method. The predicted absolute permeability and formation factor were verified against the theoretical solutions obtained by lattice Boltzmann method and finite volume method, respectively. The two-phase flow was simulated through the networks extracted from homogeneous sandstones, and the generated relative permeability curves were compared with the data obtained from experimental method and other numerical models. The results show that the accuracy of our network is higher than that of other networks for predicting transport properties, so the presented method is more reliable for extracting physically realistic pore network. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000403682600050 |
WOS关键词 | 2-PHASE FLOW ; RELATIVE PERMEABILITY ; RECONSTRUCTION ; SIMULATIONS ; PREDICTION ; MODELS ; SANDSTONES ; RESOLUTION ; PRESSURE ; GEOMETRY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21824 |
专题 | 资源环境科学 |
作者单位 | 1.China Univ Geosci, Sch Earth Sci, Wuhan, Peoples R China; 2.Chinese Acad Sci, Inst Mech, Beijing, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China; 5.China Univ Geosci, Fac Earth Resources, Wuhan, Peoples R China |
推荐引用方式 GB/T 7714 | Yi, Zhixing,Lin, Mian,Jiang, Wenbin,et al. Pore network extraction from pore space images of various porous media systems[J]. WATER RESOURCES RESEARCH,2017,53(4). |
APA | Yi, Zhixing,Lin, Mian,Jiang, Wenbin,Zhang, Zhaobin,Li, Haishan,&Gao, Jian.(2017).Pore network extraction from pore space images of various porous media systems.WATER RESOURCES RESEARCH,53(4). |
MLA | Yi, Zhixing,et al."Pore network extraction from pore space images of various porous media systems".WATER RESOURCES RESEARCH 53.4(2017). |
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