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Record W3210423435 · doi:10.36487/acg_repo/2063_74

Definition of an envelope and life-of-mine production schedule for block caving mines under grade and material flow uncertainty

2020· article· en· W3210423435 on OpenAlexaff
Roberto Noriega, Yashar Pourrahimian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsScheduleBlock (permutation group theory)Envelope (radar)Production (economics)Resource (disambiguation)Process (computing)Flow (mathematics)Computer scienceOperations researchEngineeringMathematics

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.223
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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