Concept design optimization for OSVs operating on the Flemish Pass basin
Notice bibliographique
Résumé
Significant oil discoveries in the Flemish Pass Basin off the coast of Newfoundland and Labrador have given rise to interest in studying the capabilities of offshore support vessels (OSVs) to provide logistics support to an operating offshore oil installation. The Flemish Pass Basin represents a departure from current operational environments, characterized by longer distances, deeper waters, and a harsher metocean climate, which raises concerns as to the suitability of existing vessel design configurations. As a result, this study has been performed into the optimization of the design of offshore support vessels, to develop a high-level optimized concept design which can support oil and gas development on the Flemish Pass Basin. First, a high-level review of existing approaches to optimizing the design of OSVs and their logistics was examined. These approaches, though powerful for their individual optimization goals, failed to tie all the optimization requirements and logistics together into a holistic understanding of the most efficient design of hull and fleet to meet the operational requirements. The works presented in this paper show the process used to tie these approaches together into a complete optimization algorithm, to develop a fit for purpose fleet of OSVs. To support this algorithm, a series of computer simulations were performed to develop sets of equations to describe the seakeeping, resistance, and stability performance of OSVs. These simulations were performed on 4 principal hull designs: axe bow, bulbous bow, vertical bow, and X bow, which are representative of many state-of-the-art vessels currently operating. Using the derived equations, a computerized algorithm was developed which takes account of sea state probabilities and operational requirements to relate the vessel performance, downtime, scheduling, and design to minimize fleet annual cost. The algorithm automatically rejects any hull or fleet mix designs which cannot achieve the required delivery performance, and any which due to their excessive speed, weights, or lack of stability could not be operated. A result of running this algorithm showed an optimized OSV design consisting of a fleet of 2 vessels based on the vertical bow hull form, with 100 m length, 25 m beam, and a 4 m draft. In general, the results showed a strong cost efficiency of using large, low displacement hulls and fewer voyages. The sensitivity of the results was studied, and it was found that the algorithm output can significantly vary with little change on the input. Further, the algorithm has a margin of error which can impact which vessel is ultimately recommended, which indicates a need for more detailed studies beyond the concept design phase, to ensure that the optimum design has been selected.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».