MétaCan
Menu
Back to cohort
Record W1985242304 · doi:10.2118/149582-ms

Offshore Arctic Drilling System Selection Process: Water Depths from 50 - 500 meters

2011· article· en· W1985242304 on OpenAlexaboutno aff
Richard L. Simpson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
FundersBP Exploration Operating Company Limited
KeywordsArcticOffshore drillingSubmarine pipelineSubseaDrillingDynamic positioningMarine engineeringLeasePropulsionBoomEngineeringSystems engineeringGeologyOceanographyMechanical engineeringBusinessFinanceAerospace engineering

Abstract

fetched live from OpenAlex

Abstract Recent offshore lease sales in Canada have made available the opportunity to explore for oil and gas in the Polar Arctic regions of the Beaufort Sea. BP Exploration Operating Company Limited (BP) was awarded Exploration Licenses 449, 451, and 453 in 2008. The focus of this paper is upon selection of an Offshore Arctic Drilling System for Exploration Licenses 451 and 453 as, BP formed a Joint Venture in 2010 with Exploration License 449 where operatorship was designated to another company. Due to the wide range of ice conditions and water depths in the lease areas, determining the most capable Offshore Arctic Drilling System is a complex undertaking. Detailed are the considerations and methodologies utilized to recognize and quantify the key challenges involved. Once identified, these challenges were divided into discreet elements so as to progress multiple solutions in parallel in order to determine the true limits of opportunities to provide for a safe and efficient drilling program. Rapid progress was obtained through extensive collaborative engagement with Drilling Contractors, Vessel Operators (including Ice Breaking, Anchor Handling, and Supply Vessel), Remote Imaging Service Providers (Satellite and Autonomous Vehicles), Numerical Modeling Specialists, Vessel Designers (Naval Architects and Marine Engineers), Equipment Manufacturers (Dynamic Positioning Systems, Mooring Systems, Thrusters), Drilling Subject Matter Experts, and recognized individual Arctic Experts.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.612

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 head0.012
GPT teacher head0.174
Teacher spread0.161 · 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 designBench or experimental
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicOffshore Engineering and TechnologiesFrench-language works237,207