Tubifex : A biological method for dewatering oil sands tailings
Bibliographic record
Abstract
In Northern Alberta’s oil sands region, there are more than 800 million m³ tailings occupying more than 180 km² of tailings ponds. The suspended solids (mostly silts and clays), gradually densify to 25 to 40 wt% solids in 2-5 years. It is important to assist in the dewatering process of oil sands tailings to facilitate their reclamation. An innovative method is presented in this paper to address the challenges with rapid dewatering using self-reproductive earth worms, Tubifex, which offers the potential to improve the dewatering. Comparable column tests between Tubifex-treated and non-treated oil sands tailings were conducted. Test results showed that: (a) the solid-water mud line of Tubifex-treated tailings decreases faster than non-treated tailings; (b) after settling within 2 month, the solids content of Tubifex-treated tailings was 21% more than the non-treated tailings, and 15% more than the initial tailings which have been under self-weight consolidation for years. Test results imply that the Tubifex treatment method may be promising in the settling and dewatering of oil sand tailings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 source (direct Gemma or distilled Codex), 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".