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- 01GQ7AASXSEJJBKSCR14GC8ECN classification C3.
- 01GQ7AASXSEJJBKSCR14GC8ECN date "2022".
- 01GQ7AASXSEJJBKSCR14GC8ECN language "eng".
- 01GQ7AASXSEJJBKSCR14GC8ECN type conference.
- 01GQ7AASXSEJJBKSCR14GC8ECN hasPart 01GQ7BZNJHJJKXC9FJNFEY56NB.pdf.
- 01GQ7AASXSEJJBKSCR14GC8ECN subject "Earth and Environmental Sciences".
- 01GQ7AASXSEJJBKSCR14GC8ECN presentedAt urn:uuid:430866a5-5871-40b3-8734-23805f9c16d1.
- 01GQ7AASXSEJJBKSCR14GC8ECN abstract "Multiphase flow through permeable rock is critical to several issues facing the world at present. It encompasses contaminant transport and subsequent remediation, geological carbon dioxide capture and sequestration as well as subsurface energy storage. Subsurface flows typically have a low capillary number. This suggests that fluid displacements are controlled by the capillary pressures across fluid interfaces. Understanding displacement patterns therefore relies on being able to predict the capillary pressures that lead to pore-by-pore displacement events. Because drainage is predominantly composed of piston-like displacements, the cylindrical Young-Laplace formulation in pore throats can be used to estimate the capillary pressure resulting in these displacements. Imbibition on the other hand is a more complex process[1]. Capillary pressure models for snap-off and cooperative pore filling events therefore require more complex formulations[2], [3]. However, whether these models are capable of sufficiently describing imbibition in e.g. pore network models (PNMs), remains uncertain. In this work, we develop a workflow to validate capillary pressure imbibition models by using dynamic micro-CT imaging of imbibition in a glass beads pack by Schluter et al.[4]. We use these images to measure the capillary pressures of displacements, and then we compare these to capillary pressure calculations typically used in quasi-static PNMs, on a pore-by-pore basis. A crucial challenge is that, along with the geometry of the pore space, local contact angles are required. We therefore determined image-based contact angles using several methods: conventional geometric[5], thermodynamic[6], force-based[7] and local geometric[7] contact angles. Of these, the latter was used as input in the capillary pressure models since it has a narrower distribution than the other types of contact angles, suggesting it best accounts for the local hinging of contact angles. The (semi-)analytical capillary pressure models investigated here also require that the local geometry be simplified. For this, we used a maximum inscribed sphere[8] PNM and a watershed segmented (Avizo 2020.3 Thermo-Fisher Scientific) PNM. The results from each PNM were compared to assess whether relationships observed were due to influences of the PNM or due to physical processes. Local capillary pressure measurements were derived from the curvatures of the fluid interfaces in the micro-CT images, prior to each displacement event. The analytical models were compared to these measurements. This allows us to pin down the primary causes of errors in simplified multiphase flow models, thereby facilitating their improvement. This improvement has the potential to positively impact carbon dioxide sequestration, contaminant transport, etc.".
- 01GQ7AASXSEJJBKSCR14GC8ECN author 07ECB818-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GQ7AASXSEJJBKSCR14GC8ECN author 117026B0-D997-11E9-A0C7-63B45607D3EF.
- 01GQ7AASXSEJJBKSCR14GC8ECN author 651D1502-3141-11E8-95B2-C2C511A95AF2.
- 01GQ7AASXSEJJBKSCR14GC8ECN dateCreated "2023-01-20T10:07:04Z".
- 01GQ7AASXSEJJBKSCR14GC8ECN dateModified "2024-11-28T00:02:44Z".
- 01GQ7AASXSEJJBKSCR14GC8ECN name "Validating mechanistic models of fluid displacement during imbibition".
- 01GQ7AASXSEJJBKSCR14GC8ECN pagination urn:uuid:16bedabc-24b9-4f90-9458-e558f32862d0.
- 01GQ7AASXSEJJBKSCR14GC8ECN sameAs LU-01GQ7AASXSEJJBKSCR14GC8ECN.
- 01GQ7AASXSEJJBKSCR14GC8ECN sourceOrganization urn:uuid:a67a71eb-c18a-4572-a270-e8150e47058c.
- 01GQ7AASXSEJJBKSCR14GC8ECN type C3.