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Record W2316740112 · doi:10.1021/ef501826g

Asphaltene Subfractions Responsible for Stabilizing Water-in-Crude Oil Emulsions. Part 1: Interfacial Behaviors

2014· article· en· W2316740112 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 · 2014
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsNatural Resources CanadaUniversity of Alberta
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsAsphalteneEmulsionTolueneChemical engineeringAdsorptionCrude oilChemistryFraction (chemistry)ChromatographyOrganic chemistryMaterials sciencePetroleum engineeringGeology

Abstract

fetched live from OpenAlex

The asphaltene fraction of crude oil is commonly considered to be responsible for the formation of highly undesirable, stable water-in-crude oil emulsions and rag layers. We developed a new procedure for subfractionation of asphaltenes based on their interfacial activity. The most interfacially active asphaltene (IAA) subfraction was extracted as an interfacial material from emulsified water droplets in asphaltene solution. The IAA subfraction represents less than 2 wt % of whole asphaltenes (WA), but its removal had a profound effect on interfacial and thin emulsion film properties. It was found that the IAA subfraction is a main contributor to emulsion stabilization and formation of rigid oil−water interfaces. IAA adsorbed irreversibly at the oil−water interface and formed interfacial layers of low compressibility. Thin emulsion films of toluene stabilized by IAA were thicker and exhibited severe aging effects in contrast to the films stabilized with remaining asphaltene fractions, which were thin and less rigid, without any noticeable aging effects.

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 score0.192
Threshold uncertainty score0.743

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)0.0010.000

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 head0.016
GPT teacher head0.263
Teacher spread0.247 · 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