MétaCan
Menu
Back to cohort
Record W2333450794 · doi:10.1021/ef201860f

Experimental and Theoretical Determination of Equilibrium Interfacial Tension for the Solvent(s)–CO<sub>2</sub>–Heavy Oil Systems

2012· article· en· W2333450794 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.

Bibliographic record

VenueEnergy & Fuels · 2012
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsChemistrySolventThermodynamicsSurface tensionDrop (telecommunication)Organic chemistry

Abstract

fetched live from OpenAlex

Equilibrium interfacial tension (IFT) between heavy oil and CO 2 with the addition of C 3 H 8 and/or n -C 4 H 10 has been experimentally and theoretically determined. Experimentally, an axisymmetric drop shape analysis (ADSA) technique is used to measure both the dynamic and equilibrium IFTs between heavy oil and three pure solvents (i.e., CO 2, C 3 H 8, and n -C 4 H 10 ) together with seven solvent mixtures. Theoretically, the Peng–Robinson equation of state (PR EOS) with a newly developed α function has been incorporated into a mechanistic parachor model to determine the equilibrium IFTs between heavy oil and pure solvents together with their corresponding mixtures. The addition of C 3 H 8 and/or n -C 4 H 10 into CO 2 stream leads to an obvious reduction of IFT between heavy oil and CO 2, although the degree of reduction depends upon the added amount of rich solvent(s). The mechanistic parachor model with the optimized parachor of the heavy oil and mass-transfer exponent provides a qualitative agreement with the measured equilibrium IFTs between solvent(s) and heavy oil in the liquid–vapor phase region.

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 score0.123
Threshold uncertainty score0.463

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 head0.010
GPT teacher head0.234
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