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Record W3139277185 · doi:10.1002/cjce.24117

Instability of parallel flow of two immiscible liquids in a pore and application to steam‐assisted gravity drainage

2021· article· en· W3139277185 on OpenAlexafffundvenue
Young H. Lee, Ian D. Gates

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
FundersAlberta InnovatesCanada First Research Excellence FundUniversity of Calgary
KeywordsInstabilitySurface tensionMechanicsDimensionless quantitySteam-assisted gravity drainageWavenumberMaterials scienceThermodynamicsFlow (mathematics)ChemistryPhysicsAsphaltComposite materialOil sandsOptics

Abstract

fetched live from OpenAlex

Abstract The instability at the interface between two parallel flows of immiscible liquids through a uniform planar pore is studied by using linear stability analysis. A characteristic equation determines the growth rate versus wavenumber, and instability conditions are determined. The instability is governed by a dimensionless group relating the ratio of gravity to interfacial tension. Interfacial tension has a stabilizing effect resisting the destabilizing gravitational force, limiting the range of wavelengths of unstable disturbances to be longer than a minimum critical wavelength. Application to flow of steam condensate and mobilized bitumen in the steam‐assisted gravity drainage process shows that the instability is possible only over a specific range of temperatures given the densities of the steam condensate and oil in the reservoir. This instability may contribute to forming an emulsion which could help support oil drainage if the oil is hosted by the more mobile water phase.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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 designSimulation or modeling
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

Citations2
Published2021
Admission routes3
Has abstractyes

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