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Record W2332177252 · doi:10.1021/je3010722

Density and Viscosity for Mixtures of Athabasca Bitumen and Aromatic Solvents

2013· article· en· W2332177252 on OpenAlex
Jian Guan, Mohammad Kariznovi, Hossein Nourozieh, Jalal Abedi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2013
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChemistryAsphaltViscosityTolueneThermodynamicsSolventRelative viscosityVolume (thermodynamics)Mixing (physics)Oil sandsAnalytical Chemistry (journal)Organic chemistryMaterials scienceComposite material

Abstract

fetched live from OpenAlex

A new experimental apparatus was used to accurately measure the density and viscosity of aromatic solvents (toluene and xylenes), of Athabasca bitumen, and of their mixtures at different compositions. The measurements were taken under conditions applicable for both in situ recovery methods and pipeline transportation of heavy oil, that means, at temperatures varying from ambient temperature up to 343.15 K and at pressures up to 10 MPa and on mixtures with different weight fractions of the solvents (0.05, 0.1, 0.2, 0.3, 0.4, 0.5, and 0.6). The experimental density and viscosity data for the solvents and for raw bitumen were correlated using different correlation equations from the literature. Based on the experimental results, the influence of pressure, temperature, and solvent weight fraction on the density and viscosity of the mixtures was considered. The experimental density and viscosity data for the mixtures of Athabasca bitumen with toluene and xylenes were evaluated with predictive schemes as well as with correlation models representing certain mixing rules proposed in the literature. The density data are well predicted using an equation without adjustable parameter in which it is assumed that no volume change occurs. In contrast, the viscosity data are correlated reasonably over the studied conditions with Lederer’s and power law models which include one adjustable parameter each.

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 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 score0.687
Threshold uncertainty score0.370

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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