In-Situ, Solvent-Assisted Gravity Drainage of Bitumen: Nonlinear Numerical Analysis
Bibliographic record
Abstract
Summary The use of condensing solvents, especially propane vapor, has been proposed for the low-temperature recovery of bitumen by gravity drainage. A full numerical analysis of such a process is presented. A hybrid spectral/finite-difference method was implemented to solve equations simultaneously. The results show that the hydrodynamics of a miscible front was highly dependent on the characteristics of the porous medium and also on the properties of the miscible fluid. As a significant factor, the dependency of the production flow rate on the thickness of the porous medium was measured. The order of dependency was found to be a function of time and cannot be considered as a constant. Hydrodynamic dispersion was also found to decrease this dependency. More-detailed results, along with quantitative analyses, are also discussed to indicate how the hydrodynamics was influenced by other porous-medium characteristics and fluid properties, such as dissolution rate and molecular diffusion.
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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 | 0.000 |
| 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) | 0.001 | 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".