MétaCan
Menu
Back to cohort

Effect of Asphaltene Aggregation on Rheological Properties of Diluted Athabasca Bitumen

2015· article· en· W2466580918 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnergy & Fuels · 2015
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsDow Chemical (Canada)University of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaDow Chemical Company
KeywordsAsphalteneAsphaltViscosityRheologyDiluentHeptaneToluenePrecipitationOil sandsChemistryChemical engineeringRelative viscosityMaterials scienceOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Viscosity of bitumen solutions in heptol (80:20) and heptane above the onset of asphaltene precipitation decreases continually with aging for up to 30 days, while in toluene, there was no detectable change in the viscosity. The decrease of the viscosity at these conditions was related to the formation of asphaltene aggregates and aggregate clusters, which precipitated out and, as a result, decreased the bitumen (asphaltene) content of the solution. The observed time dependence of the viscosity reduction suggests that the asphaltene aggregation/precipitation is a continuous process with the time scale of weeks. The asphaltene aggregation/precipitation rate depends upon the aromaticity of the diluent, with higher rates observed for heptane compared to heptol (80:20). These results add to the current understanding of the relation between aggregation of asphaltenes and viscosity of diluted bitumen, which is important for improving heavy oil extraction and processing technologies.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.369

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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