Achieving Global Acceptance of and Compliance With a Universal Set of Petroleum Resources and Reserves Definitions - Are We There Yet?
Notice bibliographique
Résumé
Management SPE has long been a leader together with several other cooperative industry organizations in establishing petroleum reserves definitions. This began in 1962 with the appointment of the first SPE Oil and Gas Reserves Committee (OGRC) and continues through the most recent SPE programs and processes created to inform and educate the industry and the public about the applicability and significance of the Petroleum Resources Management System (PRMS) approved by the SPE Board of Directors in March 2007. This article is a condensation of SPE 114162 and the reader is directed to the full paper for more details about the PRMS, the sponsoring societies, and the historical sequence of events leading to the current state of PRMS adoption and acceptance. The creation of the PRMS was, in every measure, a global effort as the mandate for the OGRC and its observers was strengthened by having representation from 10 countries: Australia, Canada, Hungary, Italy, Norway, Saudi Arabia, South Africa, the UK, the US, and Venezuela. Employers of the OGRC members and those of its six observers included privately owned, state-owned, independent, and integrated producers, plus large and small consulting firms, one government agency, and an international accounting board. The more challenging part of this process clearly lies ahead as the sponsoring organizations work together to "sell" these definitions and principles to upstream petroleum industry management, the financial community, the accounting world, governments, certain mining interests, and regulators. Has the SPE OGRC reached a sufficiently high level of consensus in crafting the PRMS for it to warrant recognition and acceptance by the companies, agencies, organizations, and individuals who will ultimately make these decisions? This article attempts to address this very important question. Who Are the Players? The petroleum value chain begins with exploration and production companies—large and small, public and private—who incur the financial risks and manage other uncertainties endemic to their businesses. Adoption of the PRMS by all or most producing companies will clearly not eliminate the risky nature of the industry but a common understood nomenclature removes a part of the uncertainty and helps eliminate many of the avoidable problems associated with inconsistent, and sometimes conflicting, terminology. How many oil and gas producers are there? Even though most of the world's petroleum reserves and resources are controlled by fewer than 50 or so companies, there are more than 900 companies who registered securities for sale in 2006 through stock exchanges in the US, the UK, and Canada. This number excludes several hundred more tiny-to-large privately owned companies that do not fall under the jurisdiction of any securities reporting agency.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».