Large-scale thickened tailings delivery and distribution system upgrade and optimisation
Bibliographic record
Abstract
This paper presents the design aspects and challenges involved in upgrading an existing thickened tailings delivery and distribution infrastructure with the aim of utilising the system for a newly constructed tailings storage facility (TSF). The operation is Oyu Tolgoi, the largest copper and gold mine in the Inner Asia region with a total throughput of 40 Mtpa. The thickened tailings are currently discharged to the existing TSF cell at a solids concentration of 56 – 64%. Similar to the existing TSF cell, a new cell is designed as a turkey-nest-type TSF which will be raised annually using the mine waste. The new TSF cell is about 2 km long by 2 km wide and the tailings will be distributed to the TSF from the western and northern walls via multiple manifolds and spigots using a specifically designed linear distribution system. The proposed upgrades to the tailings delivery pipeline and the modified linear distribution system will significantly improve the operation of the existing tailings pumps and optimise the tailings deposition into the new TSF. The proposed modifications also minimise the need for relocation of the excessively large tailings pipes during the operational life of the TSF. The proposed upgrades and alterations to the existing infrastructures are discussed and presented in this paper.
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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".