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Record W2359649564

Solvent extraction for bitumen from oil sands followed by solvent recovery

2010· article· en· W2359649564 on OpenAlex
Keng H. Chung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChemical Engineering(China) · 2010
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNaphthaOil sandsSolventExtraction (chemistry)AsphaltSupercritical fluidChromatographyChemistrySolvent extractionVolumetric flow ratePulp and paper industryPetroleum engineeringMaterials scienceOrganic chemistryGeologyComposite materialThermodynamicsCatalysis
DOInot available

Abstract

fetched live from OpenAlex

The solvent extraction experiment followed by CO2-assisted solvent recovery was used to process Canada Athabasca oil sands. The reformed naphtha was selected as the optimum solvent. The results show that under the optimum conditions of extraction temperature 80 ℃,the solvent flow rate 60 mL/min and extraction time 60 min,the extraction rate of bitumen reaches 92.74%. The conditions used for the reformed naphtha recovery are based on the results from the above phase equilibrium experiment. The effects of temperature,pressure,the flow rate of CO2 and the time on the recovery reformed naphtha by supercritical CO2 were investigated. The results show that under the conditions of 50 ℃,13 MPa,7.5 L/h and 1h,the recovery rate of reformed naphtha reaches 98.71%.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
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 integrity0.0000.001
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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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