Recovery of Bitumen from Oil or Tar Sands Using Ionic Liquids
Bibliographic record
Abstract
The extraction and separation of bitumen from oil sands for the purpose of processing fuels is relatively expensive and poses several environmental challenges. Roughly two tons of oil sands are required to produce a barrel of oil, and the separation of the bitumen from sand and clay requires significant amounts of energy and the use of large quantities of water. It is shown here that bitumen in a sample of Canadian tar sands can be recovered using ionic liquids (ILs) and organic solvents. Essentially, a multiphase system—consisting of a sand and clay slurry, an ionic liquid layer, and an organic layer containing the bitumen—can be formed by simply mixing the components at somewhat elevated (∼55 °C) or ambient temperatures (∼25 °C). Essentially all of the bitumen is released from the sand. Water is not used in this stage of the separation, but relatively small amounts are used to separate entrained IL from the sand and clays. Because both the IL and water can be recycled through the system and used repeatedly, this process has the potential for ameliorating many of the environmental problems associated with current extraction methods.
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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 | 0.000 |
| 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".