Image-based modeling of spontaneous imbibition in porous media by a dynamic pore network model. (June 2021)
- Record Type:
- Journal Article
- Title:
- Image-based modeling of spontaneous imbibition in porous media by a dynamic pore network model. (June 2021)
- Main Title:
- Image-based modeling of spontaneous imbibition in porous media by a dynamic pore network model
- Authors:
- Qin, Chao-Zhong
van Brummelen, Harald
Hefny, Mahmoud
Zhao, Jianlin - Abstract:
- Highlights: We develop a dynamic pore-network model (PNM) with specific local rules for spontaneous imbibition (SI) in porous media. Our PNM well predicts imbibition rates and temporal saturation profiles under a wide range of viscosity ratios compared to the VOF model. We find a co-filling mechanism in SI which results in much less trapping of nonwetting phase compared to quasi-static imbibition. Abstract: The dynamic pore-network modeling, as an efficient pore-scale tool, has been used to understand imbibition in porous media, which plays an important role in many subsurface applications. In this work, we aim to develop a dynamic pore-network model for imaged-based modeling of spontaneous imbibition in porous media. The µCT scanning of a porous medium of sintered glass beads is selected as our study domain. We extract its pore network by using an open-source software of PoreSpy, and further project the extracted information of individual watersheds into multiform idealized pore elements. A number of case studies of primary spontaneous imbibition have been conducted by using both the pore-network model and a VOF model, under different wettability values and viscosity ratios. We compare those model predictions in terms of imbibition rates and temporal saturation profiles along the flow direction. We show that our pore-network model can well predict imbibition rates and temporal saturation profiles under different viscosity ratios and wetting conditions, in comparison to theHighlights: We develop a dynamic pore-network model (PNM) with specific local rules for spontaneous imbibition (SI) in porous media. Our PNM well predicts imbibition rates and temporal saturation profiles under a wide range of viscosity ratios compared to the VOF model. We find a co-filling mechanism in SI which results in much less trapping of nonwetting phase compared to quasi-static imbibition. Abstract: The dynamic pore-network modeling, as an efficient pore-scale tool, has been used to understand imbibition in porous media, which plays an important role in many subsurface applications. In this work, we aim to develop a dynamic pore-network model for imaged-based modeling of spontaneous imbibition in porous media. The µCT scanning of a porous medium of sintered glass beads is selected as our study domain. We extract its pore network by using an open-source software of PoreSpy, and further project the extracted information of individual watersheds into multiform idealized pore elements. A number of case studies of primary spontaneous imbibition have been conducted by using both the pore-network model and a VOF model, under different wettability values and viscosity ratios. We compare those model predictions in terms of imbibition rates and temporal saturation profiles along the flow direction. We show that our pore-network model can well predict imbibition rates and temporal saturation profiles under different viscosity ratios and wetting conditions, in comparison to the VOF model. We explore the effect of viscosity ratio on the trapping of nonwetting phase. Moreover, we discuss the difference between spontaneous imbibition and quasi-static imbibition in terms of pore-filling mechanisms. … (more)
- Is Part Of:
- Advances in water resources. Volume 152(2021)
- Journal:
- Advances in water resources
- Issue:
- Volume 152(2021)
- Issue Display:
- Volume 152, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 152
- Issue:
- 2021
- Issue Sort Value:
- 2021-0152-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Hydrology -- Periodicals
Hydrodynamics -- Periodicals
Hydraulic engineering -- Periodicals
551.48 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03091708 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advwatres.2021.103932 ↗
- Languages:
- English
- ISSNs:
- 0309-1708
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0712.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16887.xml