National Instrument 51-101 (NI 51-101) Reserves Reconciliation-Part 1
Notice bibliographique
Résumé
Introduction Because of the uncertainty in estimating oil and gas reserves, the exact quantity of hydrocarbons to be recovered will never be known until production reaches the economic limit and the reservoir is abandoned. It is, however, necessary from time to time to estimate the reserves to be recovered throughout the producing life of a field, and to verify that the reserves are properly estimated and classified according to the definitions and guidelines specified in the Canadian Oil and Gas Evaluation Handbook, "COGEH." The testing procedure that is used is referred to as a "Reserves Reconciliation" and should be performed at least annually or more often if there are material changes to reserves estimates. A reserves reconciliation is the single most powerful tool in tracking changes in oil and gas reserves estimates. The process keeps track of the flow of reserves into and out of a company's reserves inventory. Reserves can be added to inventory by:Discovery of new reservoirs;Extensions of existing reservoirs;Installation of improved recovery schemes;Infill drilling projects; and,Acquisitions of reserves. Reserves can be deducted from inventory by:Dispositions of reserves; and,Production of reserves. Reserves can fluctuate within inventory because of:Economic changes; and,Technical revisions. Changing economic conditions may cause either additions or reductions to reserves as economic perceptions of the future change. Technical revisions occur due to estimation procedures, resulting from moving reserves from one classification to another, obtaining new information, and, unfortunately, due to poor geological and engineering reserves estimation practices. Technical revisions form the main focus of this paper. Basic Concepts of Reserves Definitions Before a reserves reconciliation can be performed, an evaluator must have a sound knowledge of reserves definitions and their TABLE 1: Reserves classifications and notations. Available In Full Paper. application. As detailed in the COGEH, reserves estimates are classified according to the following criteria:Certainty or uncertainty (Proved, Probable, Possible);Production status (Producing, Non-Producing); and,Development stage (Developed, Undeveloped). These classifications are summarized in Table 1 along with generally accepted notations for each classification. The objective of estimating reserves is to establish the "best estimate" of the reserves to be recovered which, according to the COGEH definitions, is the proved + probable (2P) reserves. The proved (1P) and proved + probable + possible (3P) reserves estimates are conservative and optimistic estimates, respectively, which provide a measure of the central tendency about the 2P reserves estimate. When there is a wide range between the 1P and 3P reserves estimates, this indicates a high degree of uncertainty. When the range is very small, there is a low degree of uncertainty. Generally, a high degree of uncertainty exists in the early stages of development of an entity, and this uncertainty decreases (i.e., certainty increases) with time as more and more information becomes available, as illustrated in Figure 1.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| 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 | 0,001 |
| 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 ».