Dynamics of buoyancy driven miscible iso-viscous flows in heterogeneous layered porous media
Bibliographic record
Abstract
Buoyancy-driven instabilities in horizontally layered heterogeneous porous media are investigated using numerical simulations. The analysis is conducted for two different permeability distributions, where the permeability attains its maximum (minimum) at the initial interface. The effects of the frequency of layers (q) and variance of the permeability distribution (s) under different scenarios of density mismatches were analyzed and characterized both qualitatively and quantitatively. Results revealed that heterogeneity induces undulated more diffuse finger structures compared to the homogeneous case. In cases where the permeability at the initial interface is maximum, it is found that the larger the q, the less unstable the flow. It is shown that the onset time of the instability increases with increasing number of layers and decreases with increasing heterogeneity variance. Moreover, it is revealed that flow mixing increases (decreases) with increasing heterogeneity variance before (after) a critical flow time. The trends observed are, however, reversed in the case of shifted permeability heterogeneity where the smallest permeability is at the initial interface. Interestingly, it was found that for the shifted permeability distribution, an unstable flow in a homogeneous medium can be fully stabilized when a small number of layers are used in the heterogeneous case.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".