Viscous fingering and interface splitting instabilities in air–water-oil systems
Bibliographic record
Abstract
HYPOTHESIS: Viscous fingering instabilities of air displacing water displacing mineral oil is controlled by the air injection rate. Given the lower viscosity of the water, air would tend to finger through the water and then after it reaches the oil, proceed to finger through the oil. EXPERIMENTS: In a radial Hele-Shaw cell, experiments were conducted on air injection into mineral oil and air injection into a volume of water at the center of the cell which in turn is surrounded by mineral oil. The images of the fingers are analyzed to quantify the fingering patterns to compare the behaviours between the two and three phase systems. FINDINGS: Significantly different fingering patterns occur between the two and three phase systems. When air fingers penetrate the water layer and reach the oil, the air propagates along the interface between water and oil in an interface splitting instability mode resulting in development of more intricate fingering patterns. It was also observed that air fingers penetrate within water fingers that penetrate the oil. In addition, the fingertip moves faster with the presence of water exhibiting a discontinuity of the fingertip velocities across the water and mineral oil regions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".