Consolidation and unsaturated properties of in-line flocculated fluid fine tailings and centrifuged tailings from oil sands mines
Bibliographic record
Abstract
Canadian government regulatory and closure commitments for oil sands mines and tailings ponds compel oil sands companies to dewater and reclaim the fluid fine tailings (FFT) in the tailings ponds. As a result, extensive research is underway by several organisations to develop methods to understand the reasons for the slow consolidation of FFT and to design treatment methods for mine closure. The most promising technologies for oil sands tailings dewatering are thickening and centrifugation. In this research, large strain consolidation (LSC) and modified Tempe cell, using axis translation technique with shear strength tests, were conducted on in-line flocculated fluid fine tailings and centrifuged cake tailings samples. These tests determine the treated tailings’ consolidation, geotechnical properties, unsaturated characteristics and shear strength. The results of the tests provided several useful engineering functions relating matric suction and effective stress to shear strength, solids contents, and water contents. The modified Tempe cell technique, however, yielded results four times faster than the LSC test technique. The methods and evaluations of the engineering functions are discussed.
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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".