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Enregistrement W2029405083 · doi:10.2118/2002-015-ea

PVT Investigation of Asphaltene Precipitation and Redissolution from Bitumens

2002· article· en· W2029405083 sur OpenAlexafffundabout
Hussein Alboudwarej, William Y. Svrcek, Harvey W. Yarranton

Notice bibliographique

RevueCanadian International Petroleum Conference · 2002
Typearticle
Langueen
DomaineChemistry
ThématiquePetroleum Processing and Analysis
Établissements canadiensUniversity of Calgary
Organismes subventionnairesSyncrude
Mots-clésAsphaltenePrecipitationMaterials scienceChemical engineeringPetroleum engineeringGeologyChemistryOrganic chemistryEngineeringMeteorologyPhysics

Résumé

récupéré en direct d'OpenAlex

Abstract The onset and reversibility of asphaltene precipitation from Athabasca and Cold Lake bitumens were investigated over a range of temperatures and pressures in a mercury-free PVT cell. Asphaltenes were precipitated from bitumen with the addition of n-heptane and they were re-dissolved by adding bitumen to the bitumen-n-heptane mixture. Asphaltene precipitation decreased with increasing temperature and pressure. There was a small hysteresis between the precipitation and re-dissolution of asphaltenes but the hysteresis became negligible as temperature and pressure increased. A combined EOS and regular solution theoryapproach is currently under investigation to model the phase behavior of asphaltenes at high pressures and temperatures. Introduction Deposition of asphaltenes is a serious potential problem in the production and processing of petroleum. It can occur in the reservoir, in production tubing, or during transportation and processing. Precipitation of asphaltenes most likely is the first step in asphaltene deposition. To prevent or mitigate asphaltene deposition, it is desirable to predict the onset, amount and reversibility of asphaltene precipitation. There are several approaches for modeling asphaltene precipitation, however the majority of these methods treat asphaltene precipitation as a reversible process and, therefore, use a thermodynamic framework for modeling such as equations of state (EOS) (1, 2) or regular solution theory (3, 4). EOS are suitable for vapor-liquid equilibrium calculations over a range of temperatures and pressures. They are less suitable for liquid-liquid or liquid-solid equilibrium calculations. Regular solution theory is suitable for liquid-liquid and liquid-solid equilibria but must be adapted to handle changes in temperature and pressure. Regular solution theory requires estimates of molar volume and solubility parameter. In this work, these estimates are to be obtained from the Soave-Redlich-Kwong equation of state (SRK EOS). To test this approach, experimental measurements of asphaltene precipitation are required. In this work, precipitation measurements are made from Athabasca and Cold Lake bitumens diluted with nheptane over a range of temperatures and pressures typically encountered in heavy oil and oil sands processes. The reversibility of asphaltene precipitation is also examined. EXPERIMENTAL Chemicals and Materials Athabasca bitumen was obtained from Syncrude Canada Ltd. and Cold Lake bitumen was obtained from Imperial Oil Ltd. The Athabasca bitumen is an oil sands bitumen that has been processed to remove sand and water. The Cold Lake sample was recovered by steam injection from an underground reservoir and has also been processed to remove sand and water. n-Heptane was btained from Aldrich Chemical Company and was 99%+ pure. Experimental Methods Both precipitation and redissolution of asphaltenes were investigated using direct gravimetric measurement of precipitated asphaltenes at various n-heptane-tobitumen (H/B) ratios. Two methods for redissolution are solvent removal and bitumen addition. Solvent removal is not possible in the PVT cell because the cell has only one port for both bitumen and solvent addition (or removal). It is also practically impossible to evaporate the solvent under constant pressure and temperature. Therefore, the bitumen addition method was adopted. In this method, fresh bitumen was added to a bitumen solvent mixture to reduce the solvent-to-bitumen ratio and redissolve precipitated asphaltenes.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,779
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,222
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2002
Routes d'admission3
Résumé présentoui

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