MétaCan
Menu
Back to cohort
Record W1998967570 · doi:10.2118/60728-ms

Pipeline Intervention From a Dynamically Positioned Mono-Hull Vessel via a Flexible Riser

2000· article· en· W1998967570 on OpenAlexaff
Samih M. Alsyed, Henrik Aslak Larsen, Paul Johnston, Fred J. Schaider, Jack Lounsbury, Jeffrey J. Smith

Bibliographic record

VenueSPE/ICoTA Coiled Tubing Roundtable · 2000
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsApache (Canada)
Fundersnot available
KeywordsSubseaPipeline transportMarine engineeringHullPipeline (software)GeologyPetroleum engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract After a subsea mudslide near the mouth of the Mississippi River Delta, several sections of production or export pipelines were severed. The pipelines could not be retrieved to surface because they were buried deeply in the mud. Coiled tubing was successfully used to clean and abandon these pipelines insitu under 200-feet of water. The coiled tubing was conveyed through a flexible riser from a Dynamic Positioning mono-hull vessel. The lengths of the four sections of pipeline cleaned were 2400-feet, 1200-feet and 1800-feet with diameters of 8-10 inches.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.198
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueSPE/ICoTA Coiled Tubing RoundtableSame topicOffshore Engineering and TechnologiesFrench-language works237,207