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Record W2053319475 · doi:10.1002/cjce.21835

Role of asphaltenes in stabilisation of water in crude oil emulsions

2013· article· en· W2053319475 on OpenAlexafffundvenue
Jan Czarnecki, Plamen Tchoukov, Tadeusz Dąbroś, Zhenghe Xu

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsNatural Resources CanadaUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsAsphalteneEmulsionPulmonary surfactantAmphiphileSteric effectsChemical engineeringRheologyAggregate (composite)Materials scienceCrude oilOil dropletOrganic chemistryChemistryChromatographyPetroleum engineeringNanotechnologyComposite materialGeologyCopolymer

Abstract

fetched live from OpenAlex

Abstract Even though asphaltenes do not have the well‐defined amphiphilic structure characteristic of surfactants, it has been shown that they can stabilise water‐in‐oil emulsions. We propose that this stabilisation occurs because asphaltene aggregation results in the formation of a network within the thin oil film separating approaching emulsified water droplets. This network changes the rheology of the film to non‐Newtonian, which prevents drainage of the film at thicknesses less than about 50–100 nm. The presence of the network also imparts steric stabilisation to the emulsion. The proposed stabilisation mechanism does not invoke any surfactant‐like behaviour of asphaltenes. Instead, it relies solely on their propensity to aggregate.

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.005
GPT teacher head0.177
Teacher spread0.172 · 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

Citations70
Published2013
Admission routes3
Has abstractyes

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