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Record W2471123984

White Rose Extension Extension Project in in Newfoundland

2013· article· en· W2471123984 on OpenAlexaboutno aff
Bohua Bian Bian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWellheadSubseaEngineeringDrillExtension (predicate logic)Submarine pipelineStatus quoComputer scienceMarine engineeringPetroleum engineeringMechanical engineeringLawGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The White Rose Extension Project is pursued by Husky Energy, and it will be completed by 2016 or 2017. The project is mainly used by extending the field of White Rose platform. There are two options to finish this project well. One option is using the wellhead platform to further extend the field; the other one is using much more subsea drill to finish this task. Unfortunately, Husky Energy does not decide which one should be applied for the project. The wellhead platform is more stable and safe than subsea drill in the White Rose field. Because the wellhead platform is fixed at the offshore site, it will not be affected seriously by kinds of environmental conditions. Subsea drill will be much more dangerous in the harsh environment of the White Rose field. No matter how good the wellhead platform is, it has a terrible problem which cannot be avoided. Because the designed wellhead platform will be too large, it will cost too much work hours and money. It is not easy to decide which option will be the better one. The following details will provide the advantage, disadvantage and challenge for these two options. The paper will also provide which option should be a better choice for such significant White Rose Extension Project.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.454

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 head0.011
GPT teacher head0.210
Teacher spread0.198 · 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 designObservational
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

Citations0
Published2013
Admission routes1
Has abstractyes

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