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Record W2011990371 · doi:10.2118/102794-ms

Interfacial Instability in Reactive Miscible Flow Displacements

2006· article· en· W2011990371 on OpenAlexaff
Karim Ghesmat, Jalel Azaiez

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2006
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsViscous fingeringInstabilityFlow (mathematics)MechanicsViscosityDisplacement (psychology)Porous mediumViscous liquidHele-Shaw flowFluid dynamicsMomentum (technical analysis)PhysicsThermodynamicsMaterials scienceOpen-channel flowPorosity

Abstract

fetched live from OpenAlex

Abstract Flow processes that involve the displacement of a viscous fluid by a less viscous one often lead to a hydrodynamic instability known as viscous fingering. In this study the viscous fingering instability for reactive flows will be addressed. In order to understand the physics of this reactive flow displacement, the basic equations of conservation of mass, energy and momentum are solved for a two-dimensional porous medium. The flow is modeled numerically using a spectral method based on the Hartley transformation. The streamfunction and concentration fields are determined for the two dimensional flow in every time-step to track the development of the flow. In this study, two different kinds of auto-catalytic reactions are considered and the effects of stoichiometry on finger patterns are examined. Finger patterns are analyzed for different values of the viscosity ratio, reaction rate and order. We will discuss how the interplay between chemical reaction and hydrodynamics could result in interesting instability schemes. Physical discussions of how the reactions may affect the viscous fingering patterns are also presented.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.470

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2006
Admission routes1
Has abstractyes

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