Notice bibliographique
Résumé
SPE has been a leader in developing petroleum reserves and resources definitions that have become the industry standard for evaluating petroleum reserves, providing a sound basis for improving the consistency in reserves and resource estimation and reporting worldwide. Now SPE is taking another step forward, envisioning a universal standard that could be adopted by international financial, regulatory, and reporting bodies, as well as the oil and gas industry. Forming the foundation for this standard are the petroleum reserves definitions approved in 1997 by SPE and the World Petroleum Council (WPC) and the resources definitions approved by SPE, WPC, and AAPG in 2000. This effort is being led within SPE by its Oil and Gas Reserves Committee, of which I am honored to serve as Chairperson. Our goal is to review the existing set of definitions and guidelines in light of those current best practices that provide professionals with a common understanding of reserves and resource classification and terminology. Any potential changes should result in a more accurate global picture of current prospects and future energy supplies for the public. In the absence of a comprehensive and current code, individual countries and companies are using their own reserves evaluation systems, making global comparisons difficult. This update is part of SPE’s ongoing effort to achieve worldwide use of standard reserves definitions. SPE’s Oil and Gas Reserves Committee has helped create some of the most significant industry reference documents on reserves that are in use today (see documents at www.spe.org). This standing committee is made up of 11 members who have reserves expertise and represent a wide geographic cross section. Six observers from a diverse group of societies and agencies also provide other industry perspectives and guidance to the committee. The reserves committee completed the first phase of the definitions review by producing a glossary that provides a common and consistent understanding of terms. This glossary required several years of work to create, and it was posted on the SPE website in January 2005 (available at www.spe.org/spe/jsp/basic/ 0,,1104_1730,00.html). The committee is now focused on comparing or “mapping” the classifications and definitions that are used in other worldwide systems for regulatory government reporting or company internal resource asset management. These are the U.S. Securities and Exchange Commission; U.K. Statement of Recommended Practices; Canadian Security Administrators; Russian Ministry of Natural Resources; China Petroleum Reserves Office; Norwegian Petroleum Directorate; U.S. Geological Survey; and the United Nations Framework Classification. By understanding the relationships between these different sets, it will be possible to identify and leverage best practices that could potentially be incorporated into a new set of definitions. The committee made a report on the mapping process at the SPE Board of Directors meeting in October, and the Board approved posting the mapping document to the SPE website.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,092 | 0,171 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,021 | 0,015 |
| Études des sciences et des technologies | 0,004 | 0,007 |
| Communication savante | 0,014 | 0,023 |
| Science ouverte | 0,006 | 0,011 |
| Intégrité de la recherche | 0,004 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,010 |
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 source (Gemma direct ou Codex distillé), 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 ».