Permeability effect on the concentration-dependent propane dispersion coefficient in vapex
Bibliographic record
Abstract
In this paper, the effect of the packed medium permeability on concentration-dependent dispersion coefficient of propane in heavy oil during vapex process is investigated. The experiments are carried out at 21°C using propane at 0.689 MPa pressure. Heavy oil packed with glass beads of different permeabilities is used as a porous medium in a cylindrical geometry. The concentration-dependent dispersion coefficient of propane is optimally determined for three medium permeabilities by matching the experimental live oil and the model predicted production rates. The results show that propane concentration-dependent dispersion coefficient is a unimodal function. The dispersion coefficient of propane (at all concentrations) as well as its solubility in heavy oil increases with the decrease of the packed medium permeability. The properties determined in this work would enable engineers to optimise oil recovery, and perform more accurate simulations and implementations.
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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 | 0.001 |
| 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".