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Record W2332779196 · doi:10.1021/ef402312d

Study of Cyclohexane Diffusion in Athabasca Asphaltenes

2014· article· en· W2332779196 on OpenAlexaff
Abolfazl Noorjahan, Xiaoli Tan, Qi Liu, Murray R. Gray, Phillip Choi

Bibliographic record

VenueEnergy & Fuels · 2014
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSorptionCyclohexaneAsphalteneGravimetric analysisDiffusionDesorptionChemistryKineticsOil sandsThermodynamicsSolventAnalytical Chemistry (journal)Chemical engineeringAsphaltOrganic chemistryMaterials scienceAdsorption

Abstract

fetched live from OpenAlex

The sorption of solvents in asphaltenes, residual bitumen, and organic matter is of interest in oil sands production and extraction. In this study, we investigate the sorption and desorption rates of cyclohexane in a thin film of asphaltene using a gravimetric method. These data were used to model the kinetics and obtain estimates of the apparent diffusion coefficients. The rate curves for cyclohexane showed biexponential behavior, suggesting the presence of two different transport kinetics. Use of concentration-dependent diffusion coefficients was required to fit the data using Fick’s law. The apparent diffusion coefficients were in the range from 10 –14 to 10 –18 m 2 /s, but the values for sorption were distinctly different from desorption. The results suggest a restructuring of the asphaltene film with negligible swelling because of the addition and removal of the solvent.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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 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

Citations13
Published2014
Admission routes1
Has abstractyes

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