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Record W4312520453 · doi:10.1115/omae2022-78621

Experimental Study of Displacement Flows in a Vertical Eccentric Annulus

2022· article· en· W4312520453 on OpenAlexaff
Ruizi Zhang, Heeseok Jung, Alondra Renteria, I.A. Frigaard

Bibliographic record

VenueVolume 10: Petroleum Technology · 2022
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMechanicsBuoyancyAnnulus (botany)CasingReynolds numberGeotechnical engineeringDisplacement (psychology)Materials scienceGeologyPhysicsTurbulencePetroleum engineeringComposite material

Abstract

fetched live from OpenAlex

Abstract Primary cementing is an essential part in constructing an oil or gas well. Leakage occurs due to a poor seal of the cement in the annulus, which may be caused either during or after placement. Key in controlling leakage is to ensure the integrity of the surface casing, which is primarily vertical. This paper addresses the underlying fluid mechanics that may affect cement placement in vertical casings. We present results of miscible Newtonian displacement flow experiments carried out in a dimensionally scaled laboratory set-up. The experimental set-up has been described in detail (Renteria and Frigaard, J. Fluid Mech, 905, 2020) [1], and used previously in horizontal orientation. We use the same annular flow loop but in vertical configuration. The effects of density difference, viscosity ratio and eccentricity of the annulus have been studied. We find that the eccentricity is always dominant in affecting the displacement, and the narrow side view gives us more detail of residual layers. The buoyancy number and Reynolds number are key factors that affect the stability of the whole process. Large buoyancy number and small Reynolds number lead to stable interface and less dispersion. The residual layer at the narrow side can be removed out to a degree, under significant density difference and at lower flow rates. However, the viscosity ratio appears to play only a secondary role in vertical displacement flows. Our future directions will use the present experiments for comparison with 2D and 3D models, and we then aim to extend the experimental program to shear-thinning non-Newtonian fluids.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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 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
Published2022
Admission routes1
Has abstractyes

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