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Enregistrement W2092682183 · doi:10.2118/0906-0024-jpt

Q&A with Clarence P. Cazalot Jr., President and CEO, Marathon Oil Corp.

2006· article· en· W2092682183 sur OpenAlexaboutno aff
Clarence P. Cazalot, John Donnelly

Notice bibliographique

RevueJournal of Petroleum Technology · 2006
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPanel discussionTheme (computing)Petroleum industrySession (web analytics)ExhibitionBusinessPolitical scienceManagementPublic relationsEngineeringHistoryEconomicsComputer scienceAdvertising

Résumé

récupéré en direct d'OpenAlex

As Chairperson of the 2006 SPE Annual Technical Conference and Exhibition, can you give us some highlights of this year's event? One of the areas of focus that has become very important to the industry is unconventional hydrocarbons. That is becoming a dominant theme in the business today and is rejuvenating North America, whether it is Canadian oil sands, which have gone from being considered marginal just a couple of years ago to a very significant opportunity, or all the tight gas and fractured shales. Our company is moving more and more in that direction as well. Another important topic that certainly will generate a lot of discussion at the conference concerns the issues about people and the technical skills critically needed by this industry, both now and in the long term. There also will be a panel on reserves classification, which has been a high-profile issue as well. And, of course, the focus on technology—what new technologies are needed and the advances that are being made today. The conference's opening general session and panel sessions do focus on those critical issues: heavy oil's part in meeting future demand, reserves classification, and the role of young professionals. Do you think the challenges facing the industry now are greater than they have been in the past? I believe they are. Some may disagree with me and say that the industry has always faced challenges and that this is not an easy business. But I do believe that today's challenges are potentially game-changers in terms of how and where we conduct our business. For me, it begins with the high commodity prices we are seeing. High prices certainly spur increased activity and provide economic incentives that are creating both current and future problems. The current problems you can see in the competition for people resources and for new opportunities and assets. They are driving up the very cost of doing business—from wages and salaries to seismic costs to drilling costs to land costs. For the long term, the big question is, "To what extent and how will demand for crude oil, natural gas, and refined products all be impacted by these high prices that have risen so dramatically in such a short period of time?" High prices also have attracted a lot of new competitors into the business, not just publicly traded companies but private equity, and caused the emergence of national oil companies much more rapidly than we otherwise would have seen. In summary, I believe these challenges—access to resources, people, and rising costs—would have arisen anyway, but they have been exacerbated by the high-price environment. I think these are pretty fundamental challenges for the business that are bigger, and perhaps could have a greater impact, than the challenges that we have faced in the past.

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 enseignants0,595
Score d'incertitude au seuil0,497

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 Opus0,007
Tête enseignante GPT0,218
Écart entre enseignants0,212 · 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

Citations0
Publié2006
Routes d'admission1
Résumé présentoui

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