Electrokinetic Control of Viscous Fingering in a Perfect Dielectric Fluid
Bibliographic record
Abstract
Viscous fingering (VF) is a well-known interfacial instability occurring when a viscous fluid in a porous medium is displaced by a lower viscosity fluid. In this work, we show that electrokinetic control of the instability is possible, even in the case of a perfect dielectric viscous defending fluid. Using Hele-Shaw cell experiments in which a nonconducting viscous mineral oil is displaced by a conducting less viscous brine solution, we observe that we are able to effectively control the stability of the interface. We evaluate the interfacial stability at different field strengths, both positive and negative with respect to the pressure-driven flow and find that an electric field in the same direction as the pressure-driven flow significantly stabilizes the interface. In contrast, an electric field opposing the pressure-driven flow further destabilizes the displacement. We attribute this to the interplay between the different $\ensuremath{\zeta}$ potentials (fluid-fluid and fluid-wall) and preferential oil wettability of the system, resulting in the formation of an oil-film layer throughout the displacement. The nonconducting mineral oil in our system acts then as a dead-end pore for the brine, which under the influence of an electric field develops an electro-omostic flow velocity. We qualitatively and quantitatively show that for all positive electric field strengths VF is reduced, while for negative electric fields VF is increased and that the electric field strength has limited influence on the degree of (de)stabilization. The results from this work are of particular relevance in applications where VF occurs in a system containing one nonconducting fluid, which are common in many applications such as enhanced oil recovery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".