Resourcing the next industry defining spill
Notice bibliographique
Résumé
Abstract The Deepwater Horizon (DWH) response was unprecedented in scale and complexity. In addition to testing the limits of Industry's technical knowledge, it required a sustained response of personnel effort over several years. At the peak of the response, some 47,000+ responders were deployed across five states. For any future incident of similar scale the challenges of resourcing must be considered now, to ensure a timely, efficient and effective response can be achieved. Whilst the contribution of every responder is important, it is clear that some command and field roles are more critical than others. For these key roles there are a limited number of individuals with the knowledge, experience, credibility and personality to successfully take them on. Furthermore, accessing these individuals - having up-to-date contact details, maintaining business continuity and assuring their competency - is a challenge. Another common preparedness gap is that most exercises do not test the process for mobilising people past the first few days (thereby not learning lessons about the time it takes) or consider the challenge of putting people in place with the right skill set during a prolonged response. DWH was resourced using the ‘little black book' of contacts from oil spill response organisations (OSROs), Oil and Gas operators, scientific experts and the local communities. Whilst successful, there were lessons to learn from the approach. In the last 10 years the expectations from regulators, public and other stakeholders on the speed, transparency and effectiveness of response have multiplied. To meet these growing expectations a more robust and efficient way of putting the right people, in the right place at the right time is required. This poster discusses the merits and suggests a potential mechanism for a globally aligned mutual response network. Oil spill response cooperatives are ideally positioned to identify key roles, the people who could fill them, assure their capability and readiness, and address the barriers which slow down mobilisation such as agreeing contracting terms and rates. This poster will lay out the challenges that both Industry and OSROs face in resourcing the next industry defining spill. It will set out how an oil spill mutual response network answers these questions. It will also reinforce why collaboration and cooperation, key principles of Tiered Preparedness and Response, will continue to be the most efficient and effective way of accessing capability and maximising Industry's preparedness to respond to the next big incident.
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.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».