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Record W2737020322 · doi:10.1021/acs.iecr.7b01770

Effects of Interfacial Tension and Droplet Size on the Plugging Performance of Oil-in-Water Emulsions in Porous Media

2017· article· en· W2737020322 on OpenAlexafffund
Long Yu, Qian Sang, Yanguang Yuan

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2017
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsBitCan (Canada)University of Calgary
FundersMitacs
KeywordsEmulsionSurface tensionPermeability (electromagnetism)Materials scienceCapillary actionRheologyPorous mediumViscosityPorosityPressure dropChemical engineeringDrop (telecommunication)Volumetric flow rateOil dropletComposite materialChromatographyChemistryThermodynamicsMembrane

Abstract

fetched live from OpenAlex

Property tests were first conducted to characterize the subject oil-in-water emulsions having three different interfacial tensions and three different droplet sizes in terms of their stability, droplet size distribution, and rheological behaviors. Then sandpack flow experiments were conducted, and permeability reduction tests were used to quantify the plugging performance of each of the different emulsions flowing at different flow rates through sandpacks. The results showed that the plugging effect of an oil-in-water emulsion was primarily due to the special flow behaviors of emulsion droplets in porous media; that is, the bulk viscosity of an emulsion contributed very little to the plugging effect. This paper has shown, for the first time, a correlation of emulsion plugging ability and interfacial tension. Permeability reduction of oil-in-water emulsions in sandpacks increased with an increase in interfacial tension and droplet size. At a fixed flow rate, emulsions with σ = 5.2 mN/m and σ = 9.3 mN/m had a more than 90% permeability reduction compared to the 66% reduction for the σ = 0.15 mN/m emulsion, and the injection pressure drop for emulsion with the largest droplet size was more than three times greater than that with the smallest droplet size. That is because, when an emulsion droplet passed through the pore constriction, the capillary resistance force it experienced increased as the interfacial tension increased, and larger droplets were more likely to be trapped in the pore constrictions than smaller droplets, therefore causing greater restrictions to the flow. Flow experiments also showed that the permeability reduction of emulsions decreased with an increase of the flow rate. In addition, the size differences of emulsion droplets in the effluents and influents were also compared and analyzed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.034
GPT teacher head0.281
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

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 designBench or experimental
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

Citations62
Published2017
Admission routes2
Has abstractyes

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