MétaCan
Menu
Back to cohort
Record W2150818258 · doi:10.1016/j.crme.2011.03.008

Thermodiffusion: From microgravity experiments to the initial state of petroleum reservoirs

2011· article· en· W2150818258 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

VenueComptes Rendus Mécanique · 2011
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTernary operationDodecaneMethaneButanePetroleumMechanicsMaterials sciencePetroleum engineeringMolecular dynamicsAmplitudeThermodynamicsGeologyChemistryPhysicsOptics

Abstract

fetched live from OpenAlex

Microgravity experiments and molecular dynamics simulations have been performed to study thermodiffusion of ternary mixtures composed of methane, n -butane and n -dodecane in petroleum reservoirs conditions. The simulations showed in both cases that methane and n -butane tend to migrate towards the hot side while n -dodecane tends to migrate towards the cold side. Some of the experimental results showed the same trend but with much larger amplitudes. Finally, a simulation of an idealized fluid column composed of one of the ternary mixture emphasizes that thermodiffusion can have a large impact on the vertical distribution of the components in a petroleum reservoir.

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 categoriesInsufficient payload (model declined to judge)
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 score0.195
Threshold uncertainty score1.000

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 head0.047
GPT teacher head0.272
Teacher spread0.225 · 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