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Record W1536416286 · doi:10.5006/c2002-02054

Evaluating Fitness-for-Purpose of Coiled Tubing for Underbalanced Drilling of Sour Wells

2002· article· en· W1536416286 on OpenAlexaff
H. B. Luft, K. E. Szklarz, J. Nowinka, H. Skrzypek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsCoiled tubingUnderbalanced drillingPetroleum engineeringDrillingSour gasGeologyEngineeringMaterials scienceDrilling fluidMetallurgyWaste management

Abstract

fetched live from OpenAlex

Abstract A multi-year joint industry program (JIP) has been completed involving an experimental testing program to evaluate the fitness-for-purpose of high-strength low-alloy steel coiled tubing (CT) in under-balanced drilling of sour oil and gas wells. The primary focus is the cold-worked material response to sour well conditions when subjecting the tubing to multiple cycles of plastic tension and compression strains in the range of 2% to 3%. The material performance and/or degradation parameters measured include low-cycle corrosion-fatigue (LCCF) life, critical stress corrosion cracking (SCC) stress intensity factor, KISCC, total plastic strain to failure, normalized fracture strain, sulfide stress cracking (SSC) and hydrogen induced cracking (HIC). Laboratory tests performed under the auspices of the JIP, consisted of low-cycle, axial-straining corrosion-fatigue with full body CT specimens submerged in aqueous H2S, H2S/CO2 varying pH, SSC corrosion inhibitors and NACE standard solution specified for determining the relative propensity for HIC and SSC. Various other testing was performed unilaterally by individual JIP sponsors, including double cantilever beam (DCB) and slow strain rate testing (SSRT). Coiled tubing samples comprised the 70 ksi and 80 ksi yield strength grades, pre-fatigued with varying exposure duration to the corrosive environment. The assessment for suitability of CT in under-balanced drilling of sour wells, was made on basis of the various performance results and failure modes obtained in the laboratory testing. These results are also intended to further the development of industry operational guidelines and coiled tubing material selection for under-balanced drilling of sour wells.

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 score0.730
Threshold uncertainty score0.689

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 head0.065
GPT teacher head0.282
Teacher spread0.217 · 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
Published2002
Admission routes1
Has abstractyes

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