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dc.contributor.author
Huang, Po-Wei
dc.contributor.author
Flemisch, Bernd
dc.contributor.author
Qin, Chao-Zhong
dc.contributor.author
Saar, Martin O.
dc.contributor.author
Ebigbo, Anozie
dc.date.accessioned
2021-03-02T10:17:35Z
dc.date.available
2021-01-07T08:54:12Z
dc.date.available
2021-03-02T10:17:35Z
dc.date.issued
2020-12
dc.identifier.uri
http://hdl.handle.net/20.500.11850/460115
dc.description.abstract
Mineral reaction rates exhibit spatial scaling effects in porous media. Darcy-scale models often cannot adequately capture the effects of strong concentration gradients, heterogeneous distributions of reactive surface area and flow paths on mineral reaction rates. However, pore-scale models are computationally expensive, and the geometric information in the subsurface is hard to obtain. Therefore, we perform pore-network modeling which balances computational effort and modeling complexity. We implement a pore-scale reactive transport solver in FEniCS[1] to study how the concentration gradients of dissolved minerals affect overall reaction rates. In Figure 1, we observe the variation of the concentration gradient of the dissolving ion along the flow path, leading to a process dependence of the average dissolution rate, which is difficult to quantify at the Darcy scale. In contrast, pore-network models are capable of capturing the pore-scale heterogeneities in the concentration field. This work investigates how spatial heterogeneities of mineral concentration and reactive surface area affect overall reaction rates at the Darcy scale. We aim to provide a generalized upscaled rate law of mineral dissolution for the Darcy-scale model, which can be further implemented to the coupled reactive transport solver using DuMux[2] and Reaktoro[4][3].
dc.language.iso
en
en_US
dc.publisher
CMWR 2020
en_US
dc.subject
Scaling effects
en_US
dc.subject
Reactive transport
en_US
dc.subject
Mineral dissolution
en_US
dc.title
Investigating Spatial Scaling Effects of Reactive Transport in Porous Media Using a Pore-Network Model
en_US
dc.type
Other Conference Item
ethz.book.title
Computational Methods in Water Resources XXIII (CMWR 2020). Proceedings
en_US
ethz.pages.start
233
en_US
ethz.size
1 p.
en_US
ethz.event
Computational Methods in Water Resources XXIII (CMWR 2020) (virtual)
en_US
ethz.event.location
Stanford, CA, USA
en_US
ethz.event.date
December 14-17, 2020
en_US
ethz.notes
Conference lecture held on December 16, 2020. Due to the Coronavirus (COVID-19) the conference was conducted virtually.
en_US
ethz.publication.place
Stanford, CA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02506 - Institut für Geophysik / Institute of Geophysics::09494 - Saar, Martin O. / Saar, Martin O.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02506 - Institut für Geophysik / Institute of Geophysics::09494 - Saar, Martin O. / Saar, Martin O.
en_US
ethz.identifier.url
https://cmwrconference.org/program/proceedings/
ethz.date.deposited
2021-01-07T08:54:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-03-02T10:17:49Z
ethz.rosetta.lastUpdated
2021-03-02T10:17:49Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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