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Enregistrement W2027966275 · doi:10.2118/0513-0016-jpt

Comments: Shale's Reverberations

2013· article· en· W2027966275 sur OpenAlexaboutno aff
John Donnelly

Notice bibliographique

RevueJournal of Petroleum Technology · 2013
Typearticle
Langueen
DomaineEnergy
ThématiqueGlobal Energy and Sustainability Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOil shaleHydraulic fracturingUnconventional oilPaceBusinessWork (physics)Joint (building)Tight oilInvestment (military)Joint ventureNatural resource economicsEconomicsEngineeringGeologyCommercePetroleum engineeringPoliticsPolitical scienceCivil engineeringLaw

Résumé

récupéré en direct d'OpenAlex

Editor's column Investment in North American unconventional projects has increased sharply since the “shale revolution” began as operators look for ways to get into promising projects and walk away with expertise they can take back to potential shale development in their own countries. Producers and consumers are also rethinking their strategies as the shale windfall affects other industries. Significant numbers of unconventional project farm-ins as well as outright acquisitions have occurred since 2008. Non-US oil and gas companies invested 20%, or about USD 27 billion, of the total USD 133.7 billion investment in US tight oil, shale, and other unconventional plays from 2008 through 2012, according to a new report by the US Energy Information Administration (EIA). Since 2008, foreign companies have entered into 21 joint ventures with US acreage holders and operators, such as Sinochem’s USD 1.7 billion joint venture with Pioneer Natural Resources to buy a stake in the west Texas Wolfcamp shale play. Most of the joint venture agreements involve a cash for acreage stake with a commitment to cover the cost of drilling extra wells, according to the EIA. The agreements give financial support to US operators while foreign companies gain experience in horizontal drilling and hydraulic fracturing that may be transfer-able to other regions, the EIA said. But unconventional development outside of North America is growing at a much slower pace. “Simple duplication of North America’s successful experience in shale gas development will not work in China,” Zhou Jiping, president of CNPC and vice chairman and president of PetroChina, said at the International Petroleum Technology Conference (IPTC) in Beijing in late March. The M&A landscape has not been the only one affected by North American unconventional success. According to several reports, some Middle East producers are beginning to reconsider their strategies in light of predictions that the unconventional North American boom could be here to stay, despite political threats against hydraulic fracturing and the steep decline rates in shale plays. Under consideration are investments in Canadian or US shale assets, LNG terminals, and even US refineries as a way to hedge prices and shifts in supply. Even Saudi Arabia is beginning to pursue unconventional projects at home. Shale resources in the kingdom are estimated to be as large as 645 Tcf. Saudi Aramco is moving forward in its evaluation of unconventional opportunities, Saudi Aramco CEO Khalid Al-Falih said at the IPTC. One of the hurdles to overcome in arid regions is the amount of water involved in fracturing. Aramco has committed USD 9 billion to shale pilot projects so far, according to media reports. OPEC recently cut its forecast of oil demand for this year because of rising production from non-OPEC supplies driven by the US increase, and the organization could be headed for its lowest share of the global oil market in more than a decade. OPEC said increases in North American oil production would cut approximately 100,000 BOPD from forecast demand for its oil this year.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,456
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
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 recherche0,0000,001
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 Opus0,008
Tête enseignante GPT0,260
Écart entre enseignants0,251 · 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.

Devis d'étudeThéorique ou conceptuel
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
Publié2013
Routes d'admission1
Résumé présentoui

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