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Enregistrement W4361860624 · doi:10.2118/0223-0008-jpt

Comments: Energy Transition and Labor Transition

2023· article· en· W4361860624 sur OpenAlexaboutno aff
Pam Boschee

Notice bibliographique

RevueJournal of Petroleum Technology · 2023
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAtmospheric and Environmental Gas Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)PoliticsEnergy transitionCompensation (psychology)BusinessEnergy (signal processing)Political scienceEconomicsLaw

Résumé

récupéré en direct d'OpenAlex

Canada is ramping up its commitment to energy transition with its “just” transition bill. And with it comes concern about employment in the oil and gas sector. The proposed bill will be introduced early this year with the intent to help workers in the oil and gas sector move into clean energy jobs by defining principles to guide decisions and creating jobs. Natural Resources Minister Jonathan Wilkinson has described the bill as an action plan for “sustainable jobs.” “I said it many times publicly that I do not believe that the challenge we are going to face is that there are workers who are displaced that will not find other good-paying jobs. I am actually quite worried that there are so many opportunities … we will not have enough workers to fill the jobs,” Wilkinson recently told CBC News. Gil McGowan, president of the Alberta Federation of Labor, told CBC News, “This shouldn’t be a political issue, this is an issue about what’s really happening in the global economy.” He added that if done right, the bill could incentivize technologies like carbon capture and hydrogen. But when it comes to workers’ compensation in oil and gas vs. clean energy, how does it compare? The answer depends on the roles of workers and their locations, qualifications, experience, and training. An ex-coal miner who now runs a government-funded Just Transition center supporting former Canadian coal workers summed it up: “It’s 100% not that simple ... to go from making C$100,000 to C$40,000 plays a big part in the decision making that comes with the idea of losing your livelihood.” Adam Legge, president of the Business Council of Alberta, wrote in November 2020 in CBC Calgary that more worker transition programs are needed. He highlighted the interest in the Calgary Economic Development EDGE UP program which retrains people displaced from oil and gas into high-growth digital technology opportunities. The program saw 1,300 applicants for 100 available slots. Another program, AltaML Applied AI Lab, had 500-plus applications for its first cohort of eight participants for a 16-week course. On a global level, in the International Energy Agency’s (IEA) inaugural World Energy Employment report published in September 2022, Dr. Fatih Birol, executive director of IEA, highlighted the acceleration of clean energy transitions and securing of energy supply chains prompted by Russia’s invasion of Ukraine. He wrote, “Its success will depend a great deal on the actions governments, industry, labor representatives, and educators take to prepare the energy workforce of tomorrow. Above all, it will depend on the capable workers responsible for designing, building, operating, and overseeing the new energy economy.” The energy sector requires more highly skilled workers than others, with 45% of the workforce requiring some degree of tertiary education, from university degrees to vocational certifications. On average, the sector also sees higher wages. The report found oil supply has the highest employment among fossil fuels, at almost 8 million workers in 2019. Five million work in extraction and production, and around 1.4 million each in transport and refineries. Nearly 20% of the jobs are in the Middle East; 15% each in North America and Africa. Refining accounts for 1.4 million, concentrated in the Asia Pacific region. Skills of oil and gas workers are in demand by other energy sectors because of the applicability of their higher-level expertise. For example, petroleum and gas engineering skills in seismic interpretation, drilling and completions, reservoir, and flow assurance are applicable to geothermal. Chemical engineers in refineries can apply their expertise to green fuels and hydrogen. The report added, “Skilled workers can transfer to deepwater offshore wind, carbon capture and storage, or midstream hydrogen pipeline infrastructure, among many other job disciplines.” Emerging clean energy industries such as hydrogen and CCUS today constitute small portions of the energy workforce but are important areas of growth and demand highly skilled workers to establish and expand these industries. About 35,000 people work in hydrogen production today, according to the IEA report. The sector is expected to see high growth and requires skills that are compatible with those of oil and gas workers, with the addition of specialized safety training. The worlds’ first engineering courses in hydrogen safety have been developed by the European HySafe consortium. For those workers who must or wish to seek alternative opportunities, will their outcomes match or surpass their current roles? There are no guarantees or promises. The determining factors are many. Even with all things being equal such as the freedom and opportunity to choose, education, training, etc.—the individual will make the final call.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,383
Score d'incertitude au seuil0,347

Scores Codex et Gemma par catégorie

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

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 Opus0,003
Tête enseignante GPT0,189
Écart entre enseignants0,185 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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