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Record W2310645682

Investigation of Enhancing Drill cuttings Cleaning and Penetration Rate Using Cavitating Pressure Pulses

2014· dissertation· en· W2310645682 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2014
Typedissertation
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of NewfoundlandAtlantic Canada Opportunities AgencyResearch and Development Corporation of Newfoundland and LabradorSuncor Energy Incorporated
KeywordsVenturi effectCavitationMechanicsTurbulencePressure sensorHydrostatic pressureMaterials scienceDrillMechanical engineeringFluid dynamicsEngineeringGeotechnical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Drilling efficiency is governed by rock cuttings removal by hydraulic forces. The
\nmechanical force introduced by the drill bit removes the rock chips from the parent
\nrock. The chips will be held down until the downward forces due to overburden
\npressure are overcome. The turbulent jet that flushes away these chips consists of
\nstatic impingement and dynamic pressure fluctuations. Instead of providing high
\npressure and hence enhancing the pressure fluctuations of the turbulent jet by rig
\npumps, the existing fluid pressure can be used more effectively.
\nA fluid passing a Convergent-Divergent venturi demonstrates significant pressure
\nfluctuations due to the cavitation phenomenon. As the fluid passes the vena-contracta,
\naccording to the Bernoulli’s principle, the fluid velocity increases and hence the
\npressure decreases. If pressure drops below the fluid vapor pressure, cavitation occurs
\nand bubbles are created.
\nDifferent prototypes were designed to investigate the probability of cavitation
\noccurrence by using CFD simulations. The successful designs were venturis with
\ndiameters of 4 mm and 12 mm. Simulation software applies tetrahedral meshing to the
\nprototype geometry for robust simulation results when geometry of the tool is
\ncomplex. The results obtained confirmed the pressure pulses and occurrence of
\ncavitation.
\nAn experimental setup consisting of a 12 mm venturi, two pressure sensors at
\nupstream and downstream, and 3 load cells in a triangular combination, and a flow
\nmeter was used. The flow rate range was from 10 USGPM to 70 USGPM. The
\ncavitation started at 25 USGPM with a shear noise that is the characteristics of a 
\niii
\ncavitating flow and the sensors recorded the pressure pulses at this point. The
\nmagnitude of pressure peaks ranged from 150 psi up to 600 psi.
\nThe second stage of the experiments was to investigate the effect of venturi and axial
\ncompliance in drilling. Compliant element used in these experiments consists of two
\nplates with rubber mounts embedded between these two plates in an equilateral
\nconfiguration. The rubber mounts enable the displacement of the upper plate on the
\nbase plate. An 8 mm venturi was also mounted on the drill string behind the bit as the
\nvibration source.
\nThe experimental results show that the tool starts to cavitate and produce vibrations.
\nThe tool was tested with compliance and without compliance to seek the effects of the
\ncompliant element. Results show that when rigid (no compliance), the vibrations
\nproduced, did not have any significant effect on the rate of penetration (ROP).
\nHowever, with integration of the compliant element, the vibrations produced by the
\ntool intensified the natural vibration of the compliant element and the penetration rate
\nincreased.

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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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
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
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.244
Teacher spread0.224 · 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