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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Flow-dependency aspects in SCAL of steady-state two-phase flow in model pore networks.

Authors: Mouravas, K; Karadimitriou, N; Dimitriadis, P; Giotis, A; Valavanides, M; Steeb, H;

Flow-dependency aspects in SCAL of steady-state two-phase flow in model pore networks.

Abstract

In the current phase of an ongoing study, we systematically investigate the effects of porenetwork geometry and wettability on two-phase flow in porous media. The aim is to address the problemof end-effects in SCAL measurements. Systematic, steady-state, co-injection experiments are conducted inplanar, transparent microfluidic networks: a periodic and a non-periodic network made of PDMS, and aperiodic network made of glass. This setup enables isolation and comparison of the effects of networkgeometry and wettability for a broad domain of flow conditions spanning 3 orders of magnitude of thecapillary number and the flowrate ratio. Taking ex-core measurements of pressure drops, we extract thedependence of the relative permeabilities and the intrinsic dynamic capillary pressure on the flowrates, foreach examined system. We have developed a specialized imaging algorithm to monitor the spatiotemporalevolution of statistical properties of the interstitial flow in steady-state and transients (flowrate bumpincrements). We also evaluate the establishment of fully-developed interstitial flow and we correlate it tothe interstitial flow structure and the magnitude of end-effects. The work provides mechanistic insightsthat have a potential for improving SCAL protocols. The ultimate aim is to generate flow-dependentrelative permeability maps that are true to the underlying physics, thereby enhancing the specificity,reliability, and predictive accuracy of reservoir simulation models. 

Keywords

Oral, Wettability, 2025 SCA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green