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Record W2091700865 · doi:10.2118/106521-stu

The Influence of Ultrasonic Energy on Capillary Fluid Displacement

2006· article· en· W2091700865 on OpenAlexaff
Tarek Hamida

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2006
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSurface tensionDrop (telecommunication)Capillary actionUltrasonic sensorPorous mediumPetroleum engineeringMaterials scienceViscosityEnhanced oil recoveryMechanicsVolumetric flow rateUltrasoundEconomic shortageProcess engineeringEnvironmental sciencePorosityAcousticsComposite materialGeologyThermodynamicsMechanical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract In recent years, field tests and laboratory investigations have demonstrated that high intensity acoustic stimulation may enhance oil recovery in rocks. This technology is not only technologically feasible, but also serves as an economical, environmentally friendly alternative to currently accepted EOR methods. It requires low capital expenditure, and yields almost immediate improvement without any additional EOR agents. Despite a vast body of empirical and theoretical support, this technology lacks sufficient understanding to make meaningful, consistent engineering predictions. This is in part due to the complex nature of the physical processes involved, as well as due to a shortage of fundamental/experimental research. Much of what we believe is happening within ultrasonically stimulated porous media is speculative and theoretical. This paper aims at identifying and analyzing the influence of high-frequency, high-intensity ultrasonic radiation on the miscible and immiscible displacement of oil in capillary media. We first investigate the effect of ultrasound on flow through a capillary via the pendant drop method. Water was injected into a capillary which is submersed into various processed mineral oils and kerosene. The average drop rate per minute was measured at several ultrasonic intensities, and we determined that there exists a peak drop rate at a characteristic intensity, which strongly depends on oil viscosity and the interfacial tension between water and the oil. The second set of experiments comprises of Hele-Shaw type experiments designed to study instabilities at liquid-liquid interface when ultrasound is applied. Fractal analysis techniques were used to quantify the degree of fingering and branching, allowing a rough assessment of the degree of perturbation generated at the interface. Miscible Hele-Shaw experiments are also presented to illustrate the effect of viscous forces alone. We found that ultrasound acts to stabilize the interfacial front, and that such effect is most pronounced at low viscosity ratios. The third series of experiments focuses on the effect of ultrasound on spontaneous (capillary) imbibition of an aqueous phase into oil-saturated Berea sandstone and Indiana limestone plugs. Both counter-current and co-current geometries were tested. Due to the intrinsically unforced, gentle nature of the process, and their strong dependence on wettability, interfacial tension, viscosity and density, such experiments provide valuable insight into some of the governing mechanisms behind ultrasonic stimulation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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 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

Citations4
Published2006
Admission routes1
Has abstractyes

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