Modeling The Onset Of Asphaltene Precipitation In Solvent-Diluted Bitumens Using Cubic-Plus-Association Equation Of State
Notice bibliographique
Résumé
Abstract The growing market for solvent-assisted recovery methods, such as ES-SAGD, SAP, and LASER, increases the risk of asphaltene precipitation in the reservoir and upstream facilities that would result in production loss and huge operational costs. A comprehensive study on the asphaltene phase behaviour and precipitation is necessary in order to design preventive remedies for operational problems arising from asphaltene deposition. In the present study, we employed a cubic-plus-association equation of state (CPA-EOS) to model asphaltene precipitation from Alberta bitumen samples upon addition of n-alkanes. The focus of this work is to study the effect of temperature and solvent on the asphaltene precipitation. This method is, in particular, beneficial to commercial reservoir simulation due to its strong theoretical basis, reasonable calculation complexity, and modest computational time. The physical interactions were described by the Soave-Redlich-Kwong equation of state (SRK EOS). In the association term, the interactions between the bitumen pseudo-components were described based on the Wertheim's perturbation theory. Bitumen was characterized, based on SARA analysis, into two pseudo-components, namely the maltenes and asphaltenes. Self-association between asphaltene molecules and cross-associations between the hypothetical asphaltene and maltene molecules were considered. A solid-liquid equilibrium was assumed at the asphaltene precipitation onset. In order to satisfy the criteria for the formation of a solid phase, we employed a solid solubility model. The proposed CPA-EOS model has only one adjustable parameter, which decreased a lot of unnecessary computational time. This is especially important for systems containing complex materials such as bitumens and heavy oils. The adjustable parameter of the CPA-EOS model was found to be both temperature- and solvent-dependent such that it decreased with increasing temperature and increased with increasing solvent carbon number. Pressure did not have a significant effect on the model parameters for the dead bitumen samples and operational pressures well above the solvent's bubble point. The model predictions were compared with the experimental onset data for asphaltene precipitation over a range of temperature, and they were favourably in agreement. Our results showed that a tuned CPA-SRK EOS combined with the solid solubility model can successfully predict the onset of asphaltene precipitation. The results of the proposed model can be applied to the design and simulation of solvent-assisted thermal recovery methods and processes wherever bitumen comes in contact with heavy n-alkane solvents.
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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 | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».