Definition of an envelope and life-of-mine production schedule for block caving mines under grade and material flow uncertainty
Bibliographic record
Abstract
One of the main concerns when determining an economic envelope and life-of-mine schedule for block caving projects is the potential dilution of the estimated grade model. Material flow and mixing, which coupled with the uncertainty associated with the grade estimation process can generate unreliable mine plans and unrealistic economic valuations at early stages of the project. This paper presents a stochastic mathematical programming model to incorporate 3D material flow and mixing, through the concept of a cone of movement, and grade uncertainty, through sequential Gaussian simulation (SGS), into the definition of an envelope and life-of-mine production schedule for block caving mines. The model maximizes the NPV of the project under operational constraints and can be used on the resource model at early stages of the project. The result is a more robust mine plan that aims to meet production and grade quality targets over the different scenarios and a more realistic NPV estimation for the project.
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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".