Flocculating oil sands tailings with dual anionic/cationic polymers: Dose and charge density effects
Bibliographic record
Abstract
Abstract A two‐step process, with anionic hydrolyzed polyacrylamide (HPAM) and cationic poly(vinylbenzyl trimethylammonium chloride) (PVBTMAC), was used to flocculate oil sands mature fine tailings (MFT). The charge density of HPAM and the dosages of HPAM and PVBTMAC were varied to maximize the dewatering of MFT and minimize the turbidity of the supernatant. The dual flocculant system performed better at lower doses than when used alone. The best HPAM charge density for fast initial settling rate and high sediment solids content was 32%, but it increased to 38% for best sediment dewatering, as measured by capillary suction time. The clearest supernatants were found when the zeta potential approached 0 mV because the cationic PVBTMAC neutralized the surface charges of the particles suspended in the MFT. More importantly, undiluted MFT was flocculated with the HPAM/PVBTMAC system and then filtered at low‐pressure (69 kPag), resulting in a filter cake with a high solids content of 61 wt.%. This study shows that treating MFT with a combination of anionic and cationic polymer is a flexible way to optimize flocculation performance.
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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 | 0.000 | 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 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".