Thermo-Viscous Fingering in Heterogeneous Media
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Adverse mobility ratio at the flood front in displacement processes due to temperature difference between the injected fluid and the medium and/or the inhabitant fluid may result in an instability known as thermo-viscous fingering (TVF). In practice such processes mostly take place in heterogeneous environments where the heterogeneity of the medium alters the preferred path of the flow and interacts with TVF. TVF is encountered in thermal-based enhanced oil recovery processes such as hot water flooding, steam flooding, CSS and SAGD or in fracturing. The fingers growth and development can have either favorable or detrimental impacts on the efficiency of these processes. The effects of adverse thermal or solutal mobility gradients and heterogeneity on the instability are quantified. Concentration, temperature, viscosity, and velocity fields have been generated using nonlinear simulations and studied for a better understanding of the mechanism of fingering at different log mobility ratios, heat exchange rates, and heterogeneity profiles. TVF in fields with wider channels is very similar to that in homogeneous fields and different mechanisms for finger development take place in the highly permeable layers. Heterogeneity works in favor of stability as the number of layers increases. In fields with many layers, the fingers induced by heterogeneity diffuse across the narrow channels and produce a widely diffused front which results in even less instability than in a homogeneous field. Heat exchange with the medium causes the thermal front to lag behind the solutal front and induce backward fingering (for unstable thermal front) or build a stable wall following the solutal front (for stable thermal front) and hence affect the sweep efficiency. The mechanism of TVF in heterogeneous porous media and its interaction with channeling are not well understood. Further studies in this field can illuminate the important factors affecting the displacement of heavy oil in Alberta fields.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it