Experimental Study on Oil Recovery from Oil Sands by dimethyl ether via the Displacement–Dissolution–Permeation Method
Bibliographic record
Abstract
In response to high steam usage, significant greenhouse gas emissions, and secondary pollution risks associated with solvents in steam-assisted gravity drainage (SAGD) and solvent-assisted SAGD techniques for oil sands extraction, a new technology using liquid dimethyl ether (DME) for displacement-dissolution-permeation extraction (DME-DDP) has been proposed. Using a self-designed DME-DDP experimental apparatus, oil extraction experiments were conducted on consolidated oil sands samples to simulate the oil sand formations in the Athabasca region in Canada. The experimental results indicated that oil washing efficiency reached 84% under the optimal pressure gradient, with recoveries of >90% for saturates and aromatics, >60% for resins, and >50% for asphaltenes. The DME-DDP oil extraction process includes two stages, displacement and dissolution-permeation, each contributing to approximately 50% of the total oil recovery. The pressure gradient is the primary factor influencing oil washing efficiency, with higher recovery necessitating slower permeation or extended contact time between DME and crude oil in the formation. DME is a colorless, nontoxic, and nongreenhouse gas that can be recycled. These characteristics underscore the environmental sustainability and cost-effectiveness of the proposed method.
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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) | 0.000 | 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".