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Record W2024289220 · doi:10.2118/60706-ms

Coiled Tubing Drilling – Expanding Application Key to Future

2000· article· en· W2024289220 on OpenAlexaboutno aff
P.C. Crouse, W. B. Lunan

Bibliographic record

VenueSPE/ICoTA Coiled Tubing Roundtable · 2000
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCoiled tubingDrillingPetroleum engineeringMeasurement while drillingElectromagnetic coilDirectional drillingUnderbalanced drillingDrilling fluidRate of penetrationEngineeringGeologyMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

Abstract Since 1991, technology, people, methodology and commitment have played an integral and prominent role in the advancement, development and application of coil tubing drilling (CTD) as an alternative to conventional drilling systems. Various geological formations have been successfully drilled with coil tubing drilling systems with the CTD technology and methodology being continually adapted, improved upon and evolved from its more traditional uses. This evolution of the coil tubing drilling process is one of the most exciting and fastest growing sections of the coiled tubing industry. Coiled tubing has become a competitive advanced drilling tool when used properly. A very impressive track record has been established in Western Canada where coiled tubing drilling technology has been utilized in mostly shallow gas and oil properties to squeeze profits out of what might normally be considered marginal properties. In this manner the coil has been used as an advanced economic drilling system in both vertical and horizontal wells. In 95% of the operations the wells have been drilled underbalanced to minimize formation damage, reduce drilling problems, and increase the rate of penetration. In many cases this process has eliminated the need for remedial stimulation of the wellbore.

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 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: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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.

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

Citations6
Published2000
Admission routes1
Has abstractyes

Explore more

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