MétaCan
Menu
Retour à la cohorte
Enregistrement W2032686251 · doi:10.4043/19954-ms

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

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

Notice bibliographique

RevueAll Days · 2009
Typearticle
Langueen
DomaineEngineering
ThématiqueOffshore Engineering and Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArcticOffshore drillingEnvironmental scienceOperabilityWork (physics)Marine engineeringBARGEComputer scienceDrillingEngineeringOceanographyGeologyMechanical engineering

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,236
Score d'incertitude au seuil0,613

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,211
Écart entre enseignants0,190 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAll DaysMême sujetOffshore Engineering and TechnologiesTravaux en français237 207