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Record W1980554136 · doi:10.2118/105730-ms

Lubricants Enabled Completion of ERD Well

2007· article· en· W1980554136 on OpenAlexaff
Jonny Holand, S.A. Kvamme, Tor Henry Omland, Arild Saasen, Knut Taugbøl, John Jamth

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract Lubricants are often added to the completion or drilling fluid, in order to reduce friction between tubular equipment run into the well, and the wall of the well. This paper shows in detail how the addition of a lubricant to an oil based drilling fluid affected the lubricity significantly in the second of two comparable drill pipe runs, resulting in historically low coefficients of friction. The use of an ultra-low viscosity drilling fluid resulted in a clean metal to metal contact between the casing and the drill pipe, which caused high static friction. The selected lubricant was designed to stick to metal surfaces, and the result showed that the lubricant had a significant effect on both torque and drag forces. In the drilling phase, the apparent static friction factor decreased from 0.23 to 0.13 and the dynamic friction factor from 0.13 to 0.11. Comparing the two 8 ½" sections drilled, the average off-bottom torque was reduced by 25 % after adding this specific lubricant to the drilling fluid. In selecting the lubricant, different lubricants were tested using a novel laboratory instrument capable of measuring the coefficient of friction at elevated pressure and temperature. These laboratory measurements proved to be consistent with the observed effect of the lubricants in the field.

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 score0.756
Threshold uncertainty score0.247

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 head0.189
Teacher spread0.182 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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