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Record W2765274861 · doi:10.36487/acg_rep/1104_14_yuan

Ore types impact on flocculation and the treatment strategies for different types of oil sand tailings

2011· article· en· W2765274861 on OpenAlexaboutno aff
X Yuan

Bibliographic record

VenuePaste/˜Pœaste · 2011
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFlocculationTailingsOil sandsSedimentary depositional environmentEnvironmental scienceGeologyTailings damFluvialAsphaltEnvironmental engineeringMaterials scienceMetallurgyGeomorphology

Abstract

fetched live from OpenAlex

Alberta oil sand ore is generically classified by depositional environment: fluvial, estuarine, transition and marine. It is well known that the ores associated with the four types of depositional environments behave differently in the bitumen extraction process. Also, the different ore types have a significant impact on flocculation and thickening of the oil sand tailings. This paper will discuss the fundamental research on the ore type effect on flocculation and the related treatment strategies for different types of oil sand tailings. These treatments include the uses of a single flocculant, a single coagulant and a combination of flocculant and coagulant injected in different sequences of the process. It was found that the sequences of flocculant and coagulant injections have profound impact on flocculation performance. The test data are discussed in association with the flocculation principles. Based on these findings, the engineering control strategies to handle various types of feeds of oil sand tailings to a thickener are also proposed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.326

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 head0.021
GPT teacher head0.258
Teacher spread0.238 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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