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Record W3007785728 · doi:10.1525/elementa.403

A case study in competing methane regulations: Will Canada’s and Alberta’s contrasting regulations achieve equivalent reductions?

2020· article· en· W3007785728 on OpenAlexaboutno aff
Matthew R. Johnson, David R. Tyner

Bibliographic record

VenueElementa Science of the Anthropocene · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBaseline (sea)Environmental scienceMethaneGreenhouse gasGovernment (linguistics)Production (economics)Fossil fuelMethane emissionsBusinessNatural resource economicsWaste managementEngineeringEconomicsPolitical science

Abstract

fetched live from OpenAlex

The Canadian federal government and the Province of Alberta (the dominant oil and gas producing province) have released competing methane regulations for the oil and gas sector intended to take effect between January 2020–2023. Provisions in Canadian law could allow the provincial regulations to take precedent, but only if they are deemed to be equivalent in effect. This paper presents a comprehensive technical comparison of these upcoming regulations by considering potential site-by-site mitigation impacts on active oil and gas facilities in Alberta in 2018. This analysis was made possible by first creating a detailed inventory using recent pneumatic device count data and current production and activity data, which allowed detailed site-level calculations of regulatory impacts on a monthly basis as required by the regulations. The federal regulations are found to be stronger, achieving ~26% more methane mitigation at full implementation. Key differences are in limits on pneumatic pump emissions, vented emissions, and expected reductions in fugitive emissions through leak detection and repair surveys. The full analysis was repeated using production and inventory data for 2012 and 2017 to examine sensitivities to changing production patterns and facilitate comparisons to the 2012 baseline referenced in federal policy targets for methane reduction. The results were robust in all scenarios. Through a “Potential to Emit” threshold, the federal regulations also impact slightly fewer sites overall by exempting small sites handling limited gas volumes, while achieving greater overall methane reductions. Relative to a 2012 baseline, if fully implemented in 2018 the federal regulations would just reach the bottom of the 40–45% methane reduction target through a combination of past reductions (13%) and additional regulated mitigation (27%). However, recent trends in emissions from mined oil sands operations in particular (which are not affected by these regulations) suggests the 40–45% reduction goal for the overall sector may not be achieved by the 2025 target. Different scenarios to make the regulations equivalent are briefly discussed where the contrast in achieved mitigations for different key sources is important case study data for design of effective and efficient methane regulations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations19
Published2020
Admission routes1
Has abstractyes

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