Capillary Suction for Dewatering Oil Sands Mature Fine Tailings: Experimental and Modeling Results
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The main challenge to the efficient processing of surface-mined oil sands is the generation of large volumes of slow-settling mature fine tailings (MFT). Tailings pose a significant environmental risk, including failure of storage facility, air-borne emissions, and surface and groundwater contamination. There is no practical mechanism to economically, technically, and ecologically dewater tailings to sufficiently dry MFT for reclamation. In this work, we leverage the natural mechanism of capillary action over filter paper to increase the area available for evaporation. The filter paper accelerated the evaporation of ∼35% of the MFT water, leading to an ∼20% increase in solidification and 33–55% reduction in reclamation time. The thermodynamics of water evaporation and mass transfer are modeled to estimate the rate of evaporation. Model fitting shows good accuracy in estimating dewatering for both nonporous and porous substrates using one and two fitted parameters, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it