Notice bibliographique
Résumé
Abstract The McMurray formation in north-eastern Alberta contains a substantial fraction of the world's currently identified oil resources. The areal extent of the deposit is in the order of 300 km north-south and 100 km east-west. It has been estimated(1) that over 40 billion barrels (6.35 × 109 m3) are potentially recoverable with steam assisted gravity drainage (SAGD) from dual well pairs. This is in addition to the substantial reserves already accessible from surface mining operations in locations with minimal overburden. The success of potential SAGD projects is greatly dependent upon the proper identification of regions with adequate pay, limited shale barriers, and controllable bottom water and/or top gas/water. The fluvial/estuarine nature of the formation greatly limits the predictability of trends when viewed in a local context. However, when regional behaviour is coupled with geostatistical techniques, an improved understanding of these critical parameters is possible. This paper applies a computerized log analysis technique to obtain the porosity, oil saturation and permeability from the McMurray formation utilizing digitized logs. Additional analysis is performed to obtain regions of effective net pay and other performance indices. This information is then presented through the use of regional mapping with a geostatistical approach. Introduction The Athabasca tar sand deposit is located in the northeast corner of Alberta, Canada. The major accumulation within this deposit is contained within the McMurray formation of early Cretaceous age. By various estimates, the OOIP of the McMurray formation exceeds 120 e09 m3 (750 billion bbls)(2). The commercial extraction projects currently operational in this region are based on surface mining techniques. However, only a small fraction of the resource is suitable for mining operations(2). The vast majority of the region is covered by overburden deposits that exceed any currently economic surface mining technique. These more deeply buried regions may prove to be amenable to the steam assisted gravity drainage (SAGD) process or some variant(3). Several pilot/demonstration plants have shown promising results with this technology, originally developed by the Alberta Oil Sands Technology Research Authority (AOSTRA) for the underground test facility (UTF)(4). The intention of this paper is to provide an overview of some of the computerized mapping techniques that are applicable to determining the extent of the possible SAGD resource in the McMurray formation. Reservoir Requirements for SAGD The SAGD process consists of a pair of parallel horizontal wells with a 3 8 m vertical separation. During normal operation, steam is injected into the upper/injection well, while oil and steam condensate are produced from the lower/production well. The energy transferred from the condensing steam heats the formation, greatly lowering the viscosity of the oil. This enables the oil to flow via gravity to the underlying production well. The process appears to be quite robust from a theoretical perspective. The two principal governing factors, conduction heat transfer into the cold reservoir and gravity flow of fluid to the production well, are only moderately influenced by many reservoir characteristics. A number of previous studies have explored the theoretical range of applicability of the SAGD process to generic heavy oil reservoirs(5, 6).
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».