Notice bibliographique
Résumé
Abstract Solution-gas drive in heavy oil reservoirs is a complex process, and the mechanisms involved are not fully understood. In the past, these reservoirs have been modelled by altering variables such as critical gas saturation, bubble point pressure, relative permeability curves, fluid properties, and rock properties during sand production. Numerous investigations have shown that gas mobility in heavy oil remains extremely low. Furthermore, experimental observations have suggested that gas mobility depends not only on gas saturation, but also on depletion rate and oil viscosity. It is therefore thought that the viscous forces at the microscopic level affect gas mobility. The dependence of relative permeability to gas on parameters other than gas saturation has been observed previously in processes such as foam flow through porous media, and displacement near miscible conditions, where the ratio of viscous forces to capillary forces is large. In this work, we have developed a numerical simulator where the "apparent" gas relative permeability is a function of rate and gas saturation. The developed model is used to simulate a previously reported set of experiments of solution-gas drive in heavy oils, where the dependence of gas mobility on depletion rate has been observed. It is shown that a model with rate-dependent relative permeability functions can explain many features of solution- gas drive in heavy oil, in particular, its rate-dependent recovery behaviour. Introduction Field experience in many heavy oil reservoirs in Canada and Venezuela have shown that recoveries in the order of 10 - 15% may be achieved under primary depletion(1, 2). Typical observations are high oil production rate, high primary oil recovery, and good pressure maintenance. This behaviour is in contrast with the traditional view of solution-gas drive, where gas flows much faster than oil, leading to high producing GOR, loss of reservoir energy, and low recovery. Many of these reservoirs are produced along with significant amounts of reservoir sand. In addition to the related geomechanical effects, a special fluid flow behaviour is necessary to explain some of the observations, including low producing GOR and high recoveries. There have been very different explanations for the abnormal characteristics observed during solution-gas drive in these heavy oil reservoirs. Smith(1) suggested a simultaneous oil and gas flow in porous media in which the gas is entrained in the oil as tiny bubbles. More recently, Kamp et al.(3) developed a model for the entrained flow of gas in oil, which incorporated a constitutive equation for the viscosity of the bubbly mixture. Maini et al.(4) conducted experiments using unconsolidated sand-packs with heavy oils, and observed high pressure gradients representative of very low gas mobilities. The authors attributed this behaviour to what they called "Foamy Oil Flow." Pooladi-Darvish and Firoozabadi(5) were the first to report quantitative estimates of the phase mobilities under solution-gas drive in heavy oil. They performed depletion experiments in a sand-pack saturated with live oil, and used both light and heavy oil for comparison. Analysis of the data suggested that gas relative permeabilities in heavy oil might be as low as 10−6 - 10−5.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».