Developing New Corey-Based Water/Oil Relative Permeability Correlations for Heavy Oil Systems
Notice bibliographique
Résumé
Abstract Water/oil relative permeability data plays an important role in characterizing the simultaneous two-phase flow of fluids in porous media and predicting the performance of water flooding as a means of an immiscible displacement processes in oil reservoirs. Review of literatures indicated extensive experimental studies on two-phase water/oil relative permeability for light oil systems, however, such studies on the effect of various crude oil characteristics and operational factors on water/oil relative permeability in heavy oil systems are limited. In addition, previously developed correlations, such as Corey's equations, are not satisfactory when applied to heavy oil systems. The Objectives of this study were: I) to investigate the effect of temperature, viscosity, flow rate, and pressure on water/oil relative permeability, experimentally and II) to develop a set of new correlations for calculating water/oil relative permeability in which the effects of pressure, viscosity (temperature), and flow rate were incorporated. The experimental results showed that both water and oil relative permeability values are significantly temperature dependent and they increase when temperature increases. The results revealed that relative permeability to oil and water increase with decrease in oil viscosity. Increase in injection flow rate resulted in higher oil relative permeability and lower water relative permeability. The tests results also indicated that relative permeability to oil in water-heavy oil system is almost independent of operating pressure. The experimental data obtained in this study was used to develop new water/oil relative permeability correlations. The comparative evaluation of the new correlations with those developed by Corey showed significant improvement in prediction of water/heavy oil relative permeability. Statistical analysis of the results showed that the new correlations facilitate reliable calculation of water/oil relative permeability values by decreasing the Root Mean Square magnitude from 0.167 and 0.178 to 0.004 and 0.061 for water and oil relative permeability, respectively. In addition, the accuracy of newly developed correlations was tested against three sets of heavy oil experimental data obtained by other researchers. Results of this comparison also showed that water/oil relative permeability predicted by new correlations are in better agreement with experimental data compare to those predicted by Corey's model. Introduction Relative permeability is a crucial empirical parameter in describing the flow of multiple immiscible fluids within a porous medium (Amyx et al. 1960; Frick 1962; Heaviside et al. 1983; Honarpour et al. 1986; Al-Fattah 2003). It is defined as the ratio of the effective permeability of a fluid at a given saturation to the absolute permeability of the rock. Relative permeability data is essential for almost all fluid flow calculations in reservoirs and is utilized extensively in many areas of petroleum engineering such as: determining the residual fluid saturations, calculating the fractional flow and frontal advance, making engineering estimates of productivity, injectivity and ultimate recovery. The data is more particularly used for matching, predicting and optimizing oil and gas reservoir performances through numerical simulations. Relative permeability values are generally obtained from laboratory experiments on reservoir core samples using one of the measurement methods: steady state, unsteady state, or centrifuge techniques. The relative permeability data may also be determined from field data using the production history of a reservoir and its fluid properties. However, this approach is not often practical because it requires the complete production history data and provides average values which are influenced by pressure and saturation gradients, differences in the depletion stage and saturation variations in reservoirs.
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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».