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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
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