Spontaneous Imbibition and Drainage of Water in a Thin Porous Layer: Experiments and Modeling

被引:5
|
作者
Zhuang, Luwen [1 ,2 ]
Hassanizadeh, S. Majid [2 ,5 ]
Bhatt, Divesh [3 ]
van Duijn, C. J. [2 ,4 ]
机构
[1] Sun Yat Sen Univ, Sch Civil Engn, Zhuhai 519082, Peoples R China
[2] Univ Utrecht, Dept Earth Sci, POB 80021, NL-3508 TA Utrecht, Netherlands
[3] Kimberly Clark Inc, Global Res & Engn, Roswell, GA USA
[4] Eindhoven Univ Technol, Dept Mech Engn, POB 513, NL-5600 MB Eindhoven, Netherlands
[5] Stuttgart Univ, Integrated Res Training Grp SFB 1313, Stuttgart Ctr Simulat Sci SIMTECH, Stuttgart, Germany
基金
中国国家自然科学基金; 欧洲研究理事会;
关键词
Dynamic capillarity; In plane; Thin porous layer; Thin porous media; Unsaturated flow; INDUCED FLUID RELEASE; CAPILLARY-PRESSURE; HYDRAULIC CONDUCTIVITY; MULTIPHASE FLOW; 2-PHASE FLOW; MEDIA; REDISTRIBUTION; INFILTRATION; EQUATION; WICKING;
D O I
10.1007/s11242-021-01670-7
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The typical characteristic of a thin porous layer is that its thickness is much smaller than its in-plane dimensions. This often leads to physical behaviors that are different from three-dimensional porous media. The classical Richards equation is insufficient to simulate many flow conditions in thin porous media. Here, we have provided an alternative approach by accounting for the dynamic capillarity effect. In this study, we have presented a set of one-dimensional in-plane imbibition and subsequent drainage experiments in a thin fibrous layer. The X-ray transmission method was used to measure saturation distributions along the fibrous sample. We simulated the experimental results using Richards equation either with classical capillary equation or with a so-called dynamic capillarity term. We have found that the standard Richards equation was not able to simulate the experimental results, and the dynamic capillarity effect should be taken into account in order to model the spontaneous imbibition. The experimental data presented here may also be used by other researchers to validate their models.
引用
收藏
页码:381 / 396
页数:16
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