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Record W2032686251 · doi:10.4043/19954-ms

A Goal-Based Solution to Offshore Drilling Challenges in Arctic Environments

2009· article· en· W2032686251 on OpenAlexaboutno aff
Rod Allan, Aaron Barr, Alan Browning, N. Howard, Bruce Chip Keener, COLIN NELSON

Bibliographic record

VenueAll Days · 2009
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticOffshore drillingEnvironmental scienceOperabilityWork (physics)Marine engineeringBARGEComputer scienceDrillingEngineeringOceanographyGeologyMechanical engineering

Abstract

fetched live from OpenAlex

Abstract A drilling contractor has developed a design and specifications for a mobile offshore drilling unit to work in Arctic marine environments. Major operational challenges were identified in the development of the functional specifications. Existing solutions were considered inadequate in terms of seasonal extension, logistical restraints, water depth ranges, and especially well construction performance. A niche market was identified where the best solution would be a new design mobile unit, incorporating the well construction performance of new generation units, with the specific requirements of harsh Arctic environments. Economics necessitate a drilling unit that is capable of operations in a longer time frame than is currently available in Arctic regions of the world. Moreover, considerations for off-season availability outside the Arctic dictate efficient open water transits and deepwater performance similar to the latest generation of drillships. The extended season (beyond the benign Arctic summer) experiences weather more analogous to a North Sea wind and wave environment. To take advantage of the full open water season at the well location, early approach to the Arctic (as well as late exodus) dictate hull and thruster designs to suitable Polar Class guidelines. The transit escort and ice management strategies can greatly enhance the operability as designed into the solution. Logistic constraints in Arctic regimes dictate evaluation of self sufficiency, with much greater efficiencies in space utilization. Winterization measures must consider potential of severe icing and exposure of the hull and industrial systems to frozen seas and extreme air temperatures. The major operational challenges have been addressed, and in the process, several new approaches have been evaluated for current solutions no longer deemed effective. The ship structural design has been revamped with a monocoque approach to integrate the substructure and drilling package into a winterized box girder. Turret mooring, while considered a relic of longpast drillships, has been reintroduced to enhance stationkeeping performance at shallow water depths. A thorough risk assessment has been used as a tool to adapt proven drillship operations with the existing rules and guidelines normally associated with ships and icebreakers. Environmental considerations have brought forth a step change in the applications normally applied to offshore drilling, especially emissions and discharges. Goals and Objectives The Arctic Class MODU is a high specification Drillship capable of drilling in both Arctic and conventional locations. It is targeted specifically for North American Arctic operations during the summer/autumn season and deepwater operations worldwide during the northern hemisphere winter/spring season. Water depth goals range from a shallow 45 m in the active pack ice zones in the US and Canadian Beaufort and US Chukchi Seas, to 3000 m in open water. The drill ship must transit efficiently between summer (Arctic) and winter (open water) drilling locations, thus requiring excellent open water speed. Moreover, as the ship must remain competitive in a deepwater dynamic positioning (DP) mode, station keeping performance dictates the solution for propulsion equipment without compromise to the additional Arctic mission. For the shallow water objectives, the unit must be positioned in a moored mode through the use of a turret based mooring system located at the main well center. Thruster assist is available for these scenarios.

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: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.613

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 head0.021
GPT teacher head0.211
Teacher spread0.190 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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