Role of carrier flotation in accelerating bitumen extraction recovery from mineable athabasca oil sands
Bibliographic record
Abstract
Abstract Ore blending is a strategy developed in the oil sands industry to enhance bitumen recovery from low grade oil sands ores. It involves blending low grade ores with high grade ores at a certain ratio, resulting in a higher overall bitumen recovery from the mixture than the simple recovery summation of the two extracted separately. To understand the underlying mechanisms, both bitumen‐coated glass beads (−150 + 125 µm) and raw coal particles (−500 + 300, −300 + 150 and −150 µm) were used as carrier materials in this study to simulate bitumen droplets from high grade ores. Experimental results revealed that coal particles were more efficient than hydrophobised bitumen‐coated glass beads in accelerating bitumen recovery and that better bitumen extraction performance was obtained by using smaller sizes of coal. This was attributed to the gravitational effect of larger, heavier particles on the detachment of bitumen‐particle aggregates from bubbles. For smaller sizes of coal (−150 µm), a faster bitumen flotation recovery was achieved with more coal added. An increase in bitumen recovery up to 20–30% (absolute) was obtained by adding coal into the oil sands slurry. The interaction of bitumen with coal particles or bitumen‐coated glass beads during oil sands slurry conditioning and flotation was visually verified from simple coagulation tests. The similarity of ore blending in oil sands extraction to carrier flotation in minerals flotation and the potential application of carrier flotation principles to oil sands extraction were discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".