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Enregistrement W2068687533 · doi:10.2118/2002-133

Oil And Gas Activities In the Program of Energy Research And Development (PERD)

2002· article· en· W2068687533 sur OpenAlexaffabout
N. Billette, S-L. Marshall

Notice bibliographique

RevueCanadian International Petroleum Conference · 2002
Typearticle
Langueen
DomaineEngineering
ThématiqueMarine and Offshore Engineering Studies
Établissements canadiensNatural Resources Canada
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary sciencePetroleumDownloadComputer scienceWorld Wide WebOperations researchBusinessEngineeringChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract The Program of Energy Research and Development (PERD) is a federal program that consists of a vast array of non-nuclear energy R&D activities. The $52.5M/y R&D budget, managed by Natural Resources Canada, is distributed across twelve federal departments and agencies that deliver horizontally on coordinated research activities. The Office of Energy Research and Development has recently implemented results-based management for PERD, which will improve the strategic management of the program. PERD currently invests approximately $14M/y in oil and gas R&D carried out by five federal departments and one agency. Upstream activities include upgrading technologies and advanced separation technologies with emphasis on oil sands bitumen. Offshore and frontier activities include basin assessment and geotechnics, wind-wave-current modelling, managing sea ice, icestructure interactions, transportation safety, marine operations and ship design, management of offshore drilling and production waste, oil spills remediation and environmental impact assessment of offshore wastes and produced waters. Cross-cutting activities include flaring, pipelines and soil and groundwater remediation. An overview of these activities will be presented, as well as future shifts in PERD to meet the S&T needs of key stakeholders and the Canadian public. Introduction PERD is a funding program for federal departments and agencies that participate in energy R&D activities. A network of twelve Departments and Agencies is involved in the delivery of outputs in six broad areas: Hydrocarbons R&D, Transportation, Buildings and Communities, Industry, Power Generation, and Climate Change. The annual R&D budget is approximately $52.5M, and funds 38 programs that address priorities under these six areas. Canada presently stresses a sustainable approach to the development of energy supplies. This involves preserving the ability to respond to demands for the goods and services that energy makes possible, while minimizing the environmental impacts of meeting those demands and maximizing economic benefits now and in the future. The federal government plays a key role in sustainable oil and gas development by funding activities that will assess these resources, investigate options for reducing access costs, and in helping to establish the regulatory and technological environments to promote their potential development. This is a long-term undertaking of patient investment in research and development leading to improved codes of practices, guidelines, regulations and standards. Fossil fuels will play an important role in Canada's energy requirements for the foreseeable future, thereby stressing the importance of the related R&D needs. PERD has invested in oil and gas supply issues since the program was initiated in 1974, with an overall goal of minimizing negative environmental consequences, enhancing knowledge of the resource and maximizing recovery. Table 1 provides the breakdown and relative R&D investment of ongoing oil and gas activities in PERD; the oil and gas portfolio represents approximately twenty-seven percent of the total R&D budget of PERD. The remainder of this paper consists of an overview of key activities that PERD is currently funding. It highlights a number of selected, completed or ongoing projects presently contributing to a safer and more environmentally responsible land-based and offshore industry.

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: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,882
Score d'incertitude au seuil0,912

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 Opus0,037
Tête enseignante GPT0,247
Écart entre enseignants0,210 · 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'étudeAutre devis
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
Publié2002
Routes d'admission2
Résumé présentoui

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