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Record W4381619279 · doi:10.11159/ffhmt23.114

Application of Particle Image Velocimetry (PIV) on Newtonian and Two-phase Slurry Flow through the Annulus

2023· article· en· W4381619279 on OpenAlexvenueno aff
Muhammad Usman Siddiqui, Mohammad Azizur Rahman

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsnot available
FundersQatar Foundation
KeywordsParticle image velocimetryAnnulus (botany)Non-Newtonian fluidVelocimetryNewtonian fluidParticle tracking velocimetryMechanicsPhysicsMaterials scienceTurbulence

Abstract

fetched live from OpenAlex

The objective of the study is to visualize the impact of fluid flow rate, fluid rheology, drill pipe rotation and eccentricity of drill pipe on cutting transport, transitional velocity profile, the effect of near-wall fluid turbulence and drag stress with and without the solid cuttings bed to mimic best drilling conditions for horizontal wells in ex-situ conditions.The analysis has conducted using combined techniques of Laser-induced Particle Image Velocimetry (PIV), Seeding/fluorescent tracers tracking, and Refractive Index Matching (RIM).Experiments have been performed on a plant-scale multiphase flow loop.The pipe sections of the flow loop and investigation area were made up of acrylic glass to imagine fluid flow patterns better.Biopolymer Flowzan is used in different concentrations to obtain non-Newtonian characteristics of the liquid.For PIV analysis, seeding particles of a hollow glass material having a uniform diameter of 20 nm and fluorescent particles of size 20-30 m were used to track and illuminate particles.A class IV LASER was used to illuminate the flow field inside the RIM box.The premixed seeding and fluorescent particles with the flow were tracked to evaluate the velocity field for the respective interested area by the PIV system.A high-speed CCD Phantom v7.3 camera was utilized to capture flowing particles under the laser field.Both Laser and camera were placed in the normal position to capture PIV images.The refraction Matching Index (RIM) method was applied to calibrate the system by introducing the same fluid inside the RIM box to avoid the error of particle position in the annulus due to glass-liquid-glass refraction.To evaluate the statistics for the desired velocity field of the flow acquired, data was thoroughly investigated with DaVis 8.4 software.Additionally, the turbulent behavior of the slurry flow has also been identified with high preciseness, and the corresponding characteristics of the suspended particles were also observed at the same time.The velocity field outcomes will suggest that at the bottom of the annulus section, the velocity at the near-wall region deviates from the bulk velocity of the fluid because of the solid accumulation tendency.However, a higher flow rate of the slurry may introduce more suspended solid particles, which can eventually result in a uniform velocity field for the whole annulus section.The fluid flow patterns were altered due to drill pipe rotations and solid particles' helical motion.The rotation of the drill pipe resulted in the solid and tracer particles scattered more uniformly in the annular cross-section, which provided a constructive impression on the cutting transport.This technique provides a better prediction of mass and momentum transfer and identification of velocity profiles and pressure drop gradient in multiphase flow on a large scale.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.332

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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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