Bibliographic record
Abstract
Flue gas capacity of improving super heavy oil properties was investigated by laboratory experiment, and the experimental results showed that flue gas could play a role of swelling and reducing viscosity after being dissolved in super heavy oil. Within the experiment temperature range, flue gas maintained smaller solubility and volume factor in super heavy oil, and the viscosity of oil and gas mixture appeared a sharp fall after flue gas being dissolved in super heavy oil, meanwhile the viscosity reduction rate fundamentally appeared a linear increase. Flue gas assisting SAGD feasibility was analyzed, and the results showed that flue gas could obviously enlarge the steam chamber extension in the transverse direction and slow down the rate of increase in the longitudinal direction after being injected with steam. As a result, it could play a very good effect of adjusting steam chamber shape and temperature distribution. Therefore flue gas assisting SAGD is feasible, which is also an important means of improving development effect and enhancing oil recovery for super heavy oil reservoir SAGD in the middle and later periods. Key words: Super heavy oil; Flue gas; Solubility; Volume factor; Viscosity
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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 | 0.002 |
| 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".