Filtered tailings plant design at Krumovgrad Mine
Bibliographic record
Abstract
Dundee Precious Metals’ Ada Tepe mine is located approximately 3 km south of the town of Krumovgrad in south-eastern Bulgaria. It is an open pit mining operation comprised of a process plant, which employs a conventional crushing, grinding, and flotation process for gold and silver extraction. Currently, the tailings are being deposited as a thickened tailings in their integrated mine waste facility (IMWF). Cells are created out of waste rock to retain the thickened tailings. These cells are built within two valleys adjacent to the open pit, starting with initial starter platforms at the base of each valley, continuing up the two valleys until the two parts join at a higher elevation to form a single facility. As the cells are filled and lifts completed, the front berms are progressively rehabilitated. There are two collection sumps at the bottom of each valley from which water is pumped up to the top of the hill into the raw process water reservoir for use within the process. There is limited space on site and filtered tailings was contemplated to reduce construction complexity and placement effort in the IMWF, increase flexibility for future tailings placement, and reduce costs associated with further consolidating the thickened tailings and pumping water to the current reservoirs. In 2021, a feasibility study for producing filtered tailings within a limited footprint to improve the operability of the IMWF commenced. This consisted of assessing the area required for the filtration plant, overall design efficacy, taking into account the filterability of the tailings, transportation of the filtered tailings, examining the filtered tailings storage requirements and modifying the IMWF deposition strategy to suit filtered tailings instead of thickened tailings. This paper describes the general benefits of filtered tailings as well as some of the challenges in implementing such a system. In addition to the key design considerations for the filtration plant, outlining the specific operational benefits and identifying recoverable costs for this site are discussed.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".