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Record W1995492793 · doi:10.1021/ef050123a

Morphological and Mineralogical Characterization of Oil Sands Fly Ash

2005· article· en· W1995492793 on OpenAlexaffabout
Heemun Jang, Thomas H. Etsell

Bibliographic record

VenueEnergy & Fuels · 2005
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFly ashAshingMineralogyOil sandsAluminosilicateMineralPetroleum cokeGeologyCokeMetallurgyMaterials scienceChemistryComposite material

Abstract

fetched live from OpenAlex

The feasibility of extracting metal values from the oil sands fly ash has been studied in some detail; however, little work has been completed on the mineral phases in the fly ash and their phase changes during ash formation from oil sands coke. Characterization of the ash is essential to obtain sufficient information about the mineral assemblage and its processability. In this study, coke obtained from Syncrude and Suncor, which are the two major oil producers in northern Alberta, Canada, was investigated to elucidate the morphology, ash formation behavior, and the mineralogy, by ashing it at various temperatures. Both high temperature ashing and low temperature ashing (LTA) were employed, and the ash structure was investigated using scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD). The results clearly showed that a slight difference in chemistry and mineralogy between two samples greatly affected the properties of ash at high temperatures. Formation of oil sands fly ash was explained by the movement of iron−titanium-related minerals and amorphous aluminosilicate melts.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.200
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2005
Admission routes2
Has abstractyes

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