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Record W2050342962 · doi:10.2118/91610-pa

Hydraulic Optimization of Foam Drilling For Maximum Drilling Rate in Vertical Wells

2005· article· en· W2050342962 on OpenAlexaff
Ergün Kuru, O. M. Okunsebor, Y. Li

Bibliographic record

VenueSPE Drilling & Completion · 2005
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDrillingNozzlePetroleum engineeringVolumetric flow rateTransient (computer programming)Well drillingBit (key)HorsepowerJet (fluid)Flow (mathematics)EngineeringGeologyMechanical engineeringMechanicsComputer scienceAutomotive engineering

Abstract

fetched live from OpenAlex

Summary A transient-mechanistic model of cuttings transport with foam has been recently developed and solved numerically. In this study, the new model has been used to revisit the classical theory of hydraulic optimization (i.e.,maximum bit-hydraulic-horsepower/jet-impact-force criteria). A new methodology has been suggested to determine the optimum gas-/liquid-injection rates for maximizing drilling rates when drilling withfoam in vertical wells while keeping the bottomhole pressure at minimum. The new method can be easily used in the field to determine the bestcombination of gas-/liquid-injection rates and total-bit flow area (i.e.,jet-nozzle sizes), such that the maximum drilling rate is achieved.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations13
Published2005
Admission routes1
Has abstractyes

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