Propane-Enriched CO<sub>2</sub> Immiscible Flooding For Improved Heavy Oil Recovery
Bibliographic record
Abstract
The majority of heavy oil reservoirs in west-central Saskatchewan, Canada, are thin and marginal, such that they are economically unsuitable for thermal recovery methods. Immiscible gas flooding appears to be highly promising for these underexploited reservoirs. The goal of the research described here is to advance development of cost-effective immiscible gas flooding processes applicable to moderately viscous heavy oils in this region, by improving recovery factors through designing an injection solvent mixture with optimized properties. In this study, two solvents were studied and compared: pure CO 2 and 81 mol % CO 2 + 19 mol % C 3 H 8 . The phase behavior (pressure–volume–temperature (PVT)) and physical properties of a reconstituted live heavy oil with these solvents were measured, respectively. In terms of oil viscosity reduction and swelling, the CO 2 –C 3 H 8 mixture was found to be substantially more effective than CO 2 alone. At about 4 MPa and 21 °C, CO 2 –C 3 H 8 addition reduced the live oil viscosity by 96.5%, compared with 92.6% for CO 2 . As well, the live oil swelled by 10.6% when saturated with the CO 2 –C 3 H 8 mixture, much higher than the 6.8% with CO 2 . Furthermore, a comparative coreflood study of the oil recovery performance using CO 2 alone and the CO 2 –C 3 H 8 mixture at different operating pressures was carried out to assess their respective effectiveness. The obtained oil recovery factor confirmed that the solvent mixture was much more effective than CO 2 alone. At the operating pressure of 4 MPa, the CO 2 –C 3 H 8 mixture recovered 34.2% original oil in place (OOIP) during the water-alternating-gas (WAG) cycles, compared to 22.5% OOIP using CO 2 alone at 4 MPa. The gas utilization factor for CO 2 –C 3 H 8 flooding, however, was only 72% of that for CO 2 -alone flooding. The comparative advantage of the solvent mixture was also apparent in two specially designed radial corefloods, which were conducted to better represent fluids radial flow in heavy oil reservoirs.
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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 | 0.001 |
| 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".