Surfactant-steam-noncondensible Gas-foam Modeling for SAGD Process in the Heavy Oil Recovery
Bibliographic record
Abstract
Summary SAGD(steam assisted gravity drainage) is a mature technology to recover the heavy oil and oil sands in the Alberta. Owning to the reservoir heterogeneity and fluid properties differences, nonuniform steam chamber formed along the horizontal well leading to lower recovery Foam is dispersion of gas in a continuous water phase with thin films (lamella), acting as a separator. surfactant mobilizes the high viscous oil by emulsification and reduction of interfacial tension.Adding surfactants also lowers the interfacial tension at the water-oil interface and further produces water in oil or oil in water emulsion. In situ emulsion generation is thus another active mechanism that is involved as a result of surfactants presence. Noncondensible gas could enhance the steam foam by reducing the affection of liquid phases condensation and evaporization. Due to the above properties, gravity override is consequently limited.The existence of noncondensible gas contributes to foam stability. The phase behavior for emulsification regulates different relative permeability regimes into the oil flow. We find that adding surfactant,condensable gas and foam contributes to higher production and leads to less steam consumed.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".