GSTDTAP  > 资源环境科学
DOI10.1002/2016WR019272
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
ISSN0043-1397
EISSN1944-7973
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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