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Record W1753193617 · doi:10.3968/5383

Numerical Simulation of Foam Flow in Annulus With Wellbore Heat Transfer

2014· article· en· W1753193617 on OpenAlexvenueno aff
Shihui Sun, Yan Tie, BI Xueliang, Yunlong Xing

Bibliographic record

VenueAdvances in petroleum exploration and development · 2014
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsAnnulus (botany)Heat transferDrilling fluidMechanicsMaterials scienceMetal foamDrill stringDrillingGeotechnical engineeringThermodynamicsComposite materialGeologyPorosity

Abstract

fetched live from OpenAlex

In the study of hydraulic parameters in foam drilling, most foam hydraulic models were built based on the assumption that wellbore temperature was equal to formation temperature. But energy exchange takes place among annular foam fluid, formation and drill string, there may be a discrepancy between wellbore temperature and formation temperature. The effects of heat transfer on foam flow in annulus were investigated by numerical simulation in this paper. Simulation results show that due to the influence of temperature on pressure, the changes of annular pressure are transient. And foam fluid density, viscosity and other physical parameters are change with pressure. During foam fluid transports the solid particles from bottom to surface, solid particles accelerate and foam decelerates. When high solid particles concentration zone is reached, foam velocity decreases to a minimum value, and then increases due to the decrease of solid particle concentration. When cuttings velocity increases to a certain value, cuttings transport with a constant velocity. Key words :  Heat transfer; Foam drilling; Annulus pressure; Foam velocity; Numerical simulation

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: none
Teacher disagreement score0.951
Threshold uncertainty score0.386

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 head0.007
GPT teacher head0.204
Teacher spread0.198 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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