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Enregistrement W2899380193 · doi:10.4043/29159-ms

Do Arctic Hydrocarbons have a Place in Today's Market? Regulatory Issues

2018· article· en· W2899380193 sur OpenAlexaboutno aff
Nils Andreas Masvie

Notice bibliographique

RevueOTC Arctic Technology Conference · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueArctic and Russian Policy Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArcticLicenseCircumpolar starNexus (standard)Resource (disambiguation)Context (archaeology)Investment (military)BusinessEnvironmental planningNatural resource economicsEconomicsPoliticsPolitical scienceGeographyEngineeringOceanographyComputer science

Résumé

récupéré en direct d'OpenAlex

Abstract Objectives/Scope Arctic hydrocarbons were written off when oil prices dropped. Yet, the Arctic is diverse, and there are some fields with attractive economics. Since circumpolar littoral states do not subsidize hydrocarbon resource developments, operators must confirm fields’ financial viability in a global trading context, that is if governments let them. The objective of this paper is to assess to what extent circumpolar governments facilitate hydrocarbon exploitation in their Arctic areas. Method, Procedure, Process The paper will assess governments’ facilitation by making a qualitative comparison along two axes: (i) ease of use of safety regulations (ii) general investment friendliness. There is some debate about maritime activities in the Arctic; yet why is the debate about hydrocarbonresources much more heated? Maritime activities apparently have an implicit license to operate. Not so for hydrocarbon developments. Such resource development is firmly anchored inside the national regulatory remit. Some countries have a liberal, permissive approach to resource developments, while other countries are more restrictive and precautionary. What is the overall regulatory situation today? Russia – controlling the largest share of prospective Arctic resource territories, has a relatively liberal, investment friendly view on activities, yet still has a young, immature offshore safety regulatory approach. Norway –has an open operator policy, with many competing players. The political mood has, however changed, as the activities have moved North. Environmental and climate concerns are cited. Operators today are therefore not so sure about Norway's future license policies. Greenland – is investment friendly, yet also the country hit hardest by typical Arctic challenges of remoteness and high cost of operations. Greenland is positive to performance-based, forward-looking regulations, but regulatory experience is limited. Canada's resources are located so that Arctic cold climate industry activities are something "normal", and not exotic. The regulatory system is performance based, which allows for new technologies. Up until recently Canada therefore was a country where the government is ready for Arctic hydrocarbon developments. The 2017 Arctic offshore development moratorium changed that overall position. In the US – state decisions are relatively strong vis-à-vis the federal government. Since most offshore developments are inside the federal remit, Alaska is in a situation where strong state support may conflict with the electoral changes taking place in Washington DC. Does the US now have a prescriptive or a risk-based (performance-based) approach to safety? Norway took a 180 degree move from prescriptive to performance-based regulations after Piper Alfa (1988). It does not appear that the US has made this turn after Macondo. Results, Observations, Conclusions Safety regulatory developments are moving ahead, expecting further resource developments. Political discussions in different countries may still lead to different investment climates in each country. Novel/Additive Information Where companies should invest is not part of this presentation. Arctic resource developments take place in all the countries addressed in this paper, so Arctic hydrocarbons indeed have a place in today's energy markets. All countries assessed could still improve further – to a greater or lesser degree – their respective investment climate for such resource developments.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,678
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,005
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,022
Tête enseignante GPT0,312
Écart entre enseignants0,290 · 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.

Devis d'étudeThéorique ou conceptuel
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

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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