Panel: Oil And Gas Reserve Estimates
Notice bibliographique
Résumé
Preface This manuscript is intended to set the stage for a panel discussion on "Oil and Gas Reserves Estimates" scheduled for May 5, 2005 at the conference. The manuscript is based on the "white-paper" input from participants of this panel discussion. The participants include:Ron Harrell, (Keynote Speaker), CEO, Ryder Scott Company, LP.Ron Gajdica, Atlantis Development Manager, BHP Billiton.Dave Elliott, Senior Petroleum Evaluation Geologist, Alberta Securities Commission.Thomas S. Ahlbrandt*, World Energy Project Chief, U.S. Geological Survey. (*Vice Chairman, United Nations Ad Hoc Group of Experts on the supply of Fossil Fuels).Sandeep Khurana (Moderator), Senior Specialist, JP Kenny, Inc. Abstract This manuscript provides a comprehensive overview of issues faced in oil and gas reserve estimates. It addresses how these issues are further complicated with the expanding importance of the worldwide deepwater arena and how this deepwater reserves can be analyzed, interpreted and conveyed in a consistent, reliable way to investors and other stakeholders. The continually-improving technologies such as 3D and 4D seismic and wireline formation evaluation procedures, can lead to improved estimates of production and reserves but are not necessarily presently recognized by regulatory authorities as an indicator of "reasonable certainty", a term used since 1964 to describe proved reserves in several venues. Additionally discussed is the rapidly changing stance taken by several regulatory authorities in reporting reserves in the midst of ever increasing global nature of the industry. The manuscript examines certain solutions debated in the industry to arrive at a reporting mechanism that generates consistency and at the same time leads to useful parameters in assessing a company's value without compromising confidentiality. Areas covered are:Technical uncertainty inherent to reserves;Political and economic uncertainty related to reliability of reserves estimates;Addressing this uncertainty through reserves categories and classifications;SEC reserves and reporting regulations, technical definitions such as those adopted by the SPE and WPC, unified energy definitions under study by the United Nations; and emerging regulations in other countries or groups of countries;Deepwater arena- where new technology can arguably be used to reliably estimate reserves and for evaluating fields but cannot be used to estimate reserves publicly reported under certain regulations creating a potentially large gap in real value versus reported reserves, particularly for some producers;Lack of understanding of regulatory guidance in dealing with international Production Sharing Contracts (PSC) and unique contract issues on reporting reserves faced while dealing with National Oil Companies (NOCs);Internal booking practices;A brief assessment of Canada's NI (National Instrument) 51-101 regulations regarding the reporting of proved, probable and possible reserves beginning with year-end 2003, andWay forward for the industry. Introduction The manuscript begins with current issues on reserve estimation in the industry. A basic background on reserve definitions, inherent technical uncertainties, and reporting regulations is provided. The document then continues to discuss challenges faced in resolving these issues given the wide range of worldwide business practices and expectations.
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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 | 0,001 |
| 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 | 0,001 |
| 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 ».