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Record W2899380193 · doi:10.4043/29159-ms

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

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

Bibliographic record

VenueOTC Arctic Technology Conference · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticLicenseCircumpolar starNexus (standard)Resource (disambiguation)Context (archaeology)Investment (military)BusinessEnvironmental planningNatural resource economicsEconomicsPoliticsPolitical scienceGeographyEngineeringOceanographyComputer science

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.312
Teacher spread0.290 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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