Simulation of water storage in a reclamation cover incorporating tailings consolidation
Bibliographic record
Abstract
Successful reclamation of mine tailings requires effective management of the contaminated water generated by the consolidation of tailings over time. Due to uncertainty in predicting consolidation-induced water release, mine planners often use simulation models to prepare for a range of anticipated scenarios. This paper describes the development of the Tailings Management Simulation Consolidation model (TMSim-Consol) using the GoldSim software. TMSim-Consol simulates tailings settlement over time and the upward flow of pore water due to consolidation. The advantages of using system dynamics simulation tools are illustrated by the inherent transparency of the numerical method to end users. A hypothetical reclamation set-up consisting of an oil sands thickened tailings (OSTT) deposit capped by a sand layer was simulated under a range of initial tailings properties. The simulation results showed that soil water storage in the sand cap was highly sensitive to the initial solids contents of the underlying OSTT. To limit the release of contaminated water at the surface, the initial solids content of OSTT needs to be at least 65% before sand capping.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".