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Enregistrement W2917872592 · doi:10.2118/1216-0022-jpt

E&P Notes (December 2016)

2016· article· en· W2917872592 sur OpenAlexaboutno aff
Stephen Rassenfoss, Joel Parshall, Trent Jacobs

Notice bibliographique

RevueJournal of Petroleum Technology · 2016
Typearticle
Langueen
DomaineEnergy
ThématiqueGlobal Energy and Sustainability Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBoomRenewable energyFossil fuelOil boomEconomicsEconomyBusinessEngineeringElectrical engineering

Résumé

récupéré en direct d'OpenAlex

E&P Notes Calculating Reserve Estimates Even for Solar Power Projects Stephen Rassenfoss, JPT Emerging Technology Senior Editor Compared to oil in the ground, the sun looks like a limitless energy source. Making comparisons of the two by calculating the equivalent of barrels of reserves for a solar project seems like an odd notion. But experts in reserves accounting say that it can and should be done, and are working on a way to do so. An arm of the United Nations (UN), with support from SPE, is working to adapt the system now used to track reserves of oil and minerals in the ground to apply to renewable power sources such as the wind and the sun as part of a long-term effort to cover other sources of energy. Oil Market Surplus Could Grow in 2017 Joel Parshall, JPT Features Editor Surplus production in the oil markets is likely to grow in 2017, and long-term oil prices will track with costs and not revert to the margin-inflated patterns of the shale boom. These were the separate conclusions of two energy economists and market analysts who spoke on oil, gas, and geopolitics at the Deloitte Oil & Gas Conference held in September in Houston. “Rebalancing is maybe a little further away than we would have all liked it to be,” said David Knapp, chief energy economist and senior editor for global oil market analysis at the Energy Intelligence Group. Developing Countries Will Lead Energy Demand Growth Joel Parshall, JPT Features Editor The world’s developing countries will lead economic growth and consume an increasing share of energy production globally over the next quarter-century, said Rob Gardner, manager of economics in corporate strategic planning at Exxon- Mobil at the Deloitte Oil & Gas Conference in Houston. For his presentation, Gardner drew data and analysis from The Outlook for Energy, A View to 2040, a report published by ExxonMobil (www.exxonmobil. com/energyoutlook). Moving Closer to True Picture of the Fugitive Methane Problem Trent Jacobs, JPT Senior Technology Writer The US shale sector has proudly touted the fact that it has helped reduce the nation’s carbon dioxide output to an 18-year low by producing the natural gas that is displacing coal use in power generation. But if government regulators and some environmental groups are applauding the transition from the most carbon-intensive fuel source to the least, they are holding back on a standing ovation. Iran Opens Field Investment to Global Bidders Joel Parshall, JPT Features Editor Iran’s national oil company is offering investment opportunities in 50 fields to global bidders, its first effort to do so since the 2015 pact with world powers that lifted nuclear-related sanctions against the country. Following an announcement by the Petroleum Ministry on 16 October that it would invite foreign companies to bid on field projects, the ministry the next day disclosed that 29 oil fields and 21 gas fields would be offered for bidding. International companies were given a 19 November deadline to submit applications, and the announcement of companies that qualify for bidding is slated for 7 December. The bid round is expected to open in January or February of next year. Extending the Life and Performance of Drillpipe With Wear Band Technology Trent Jacobs, JPT Senior Technology Writer Drillpipe doesn’t last forever, but a Houston-area startup company says it has developed a way to make it last significantly longer. WhiteHorse Technology calls its service product wear bands, which is an adaptation of a technology invented in the 1930s called hardbanding. Hardbanding is a welding process that is still used today to protect steel tool joints from excessive wear and tear by coating them with a sacrificial metal material.

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)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,784
Score d'incertitude au seuil0,873

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
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 Opus0,014
Tête enseignante GPT0,281
Écart entre enseignants0,267 · 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'étudeSans objet
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
Publié2016
Routes d'admission1
Résumé présentoui

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