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Record W4367155259 · doi:10.36487/acg_repo/2355_49

Stacked deposits of thickened and filtered fluid fine tailings using geotextile tubes – concepts/lessons learned updates

2023· article· en· W4367155259 on OpenAlexafffund
Fernando Da Silva

Bibliographic record

VenuePaste/˜Pœaste · 2023
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsSNC-Lavalin (Canada)Banff CentreGeomechanica (Canada)University of Alberta
FundersUniversity of Alberta
KeywordsGeotextileTailingsGeologyTailings damComputer scienceGeotechnical engineeringMining engineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The Global Industry Standard on Tailings Management has the aspirational goal of "zero harm to people and the environment" from tailings facilities and provides a framework for safe tailings facility management while affording operators flexibility on how best to achieve this goal. This paper aims to consider an alternative form of fluid fine tailings management using geotextile tubes, which combines the enhanced geotechnical stability of the fluid fine tailings by dewatering and densification while effectively maximising the reclaiming of process water. To ensure that the return water is suitable for reuse in the plant and that the fluid fine tailings can be dewatered and densified faster, a physicochemical treatment (recipe) should assist solids/water separation and ensure fines agglomeration during pipeline transport before discharge in the geotextile tubes. This paper also describes the recipe/geotextile tubes concept and some lessons learned from their use as a filtration technology process designed to enhance the physical stability of fluid fine tailings deposits.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

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 head0.045
GPT teacher head0.274
Teacher spread0.229 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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