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Enregistrement W2904149136 · doi:10.2118/193642-ms

Microemulsion Flooding of Heavy Oil Using Biodiesel Under Cold Conditions

2018· article· en· W2904149136 sur OpenAlex
Jungin Lee, Tayfun Babadagli, B. Özüm

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Notice bibliographique

RevueSPE International Heavy Oil Conference and Exhibition · 2018
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensUniversity of Alberta
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésBiodieselEmulsionMaterials scienceChemical engineeringPulp and paper industryPetroleum engineeringWaste managementEnvironmental scienceChemistryOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Cost and thermal stability are the major obstacles in using chemical additives for enhanced heavy-oil applications. Visual analysis of biodiesel in water emulsions obtained from the bitumen recovery tests from previous studies demonstrated that high pressure steam can lead to formation of stable emulsion by evaporation of biodiesel and condensation of steam-biodiesel vapor in the reservoir. Hence, biodiesel can be an alternative to commercial surfactants as a low-cost and environmentally-friendly additive for hot and cold production of heavy-oil. For biodiesel to act as a surfactant and reduce IFT, it must first be condensated. Hence, we first studied the thermal-mechanical processing of biodiesel to generate stable steam treated homogenized biodiesel-in-water emulsion (SBDWE). Addition of chemicals such as silica and polymer (Xanthan gum) to further improve the stability of SBDWE was also considered in this study. Stable SBDWE samples generated at their optimal conditions were then employed for sandpack flooding experiments to observe their capacity to improve heavy oil recovery. In order to create stable SBDWE, biodiesel was first treated with steam at high pressure and high temperature conditions (1.6 MPa, 200°C). Variables such as reactor pressure, concentration of biodiesel in steam, and condensation time were modified independently to determine the optimal conditions for stable SBDWE generation. Surfactant behavior of the SBDWE samples was then tested through various methods (glass tube experiments, spreading tests through transmitted-light microscope, and naked eye visualization) The results from the experiments suggest that aggregation of the small-sized biodiesel droplets of SBDWE (~1μm) at the interface between heavy oil and SBDWE can form a stable emulsion phase. Creaming of SBDWE is a poor emulsification indication and can be avoided by controlling experimental variables such as injected volume of distillate water, concentration of injected biodiesel, soaking time, and addition of silica nanofluid. Storage of the stable SBDWE is also an important factor as SBDWE properties such as texture, color and stability can change over time. Injected water volume (representing steam) and soaking time are variables that can have a significant impact on the generation of stable SBDWE. Therefore, it is important to maintain a certain volume of water and soaking time during the homogenization treatment. Finally, displacement experiments on sandpacks with the help of low concentration of silica (1 wt. %) and Xanthan gum (0.35 wt.%) yielded additional recovery up to ~39%. Environmentally friendly and relatively inexpensive biodiesel (as a by-product of many industrial applications) is an ideal candidate for enhanced heavy oil recovery. Previously, application of biodiesel in heavy oil recovery came with limitations such that in enhanced heavy oil recovery, it is most effective when added to steam at high temperature and pressure conditions. However, the results from the laboratory scale cold flooding experiments with SBDWE demonstrated that SBDWE can be effectively used as a chemical additive using low concentrations of biodiesel.

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.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,694

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)0,0000,000

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 Opus0,030
Tête enseignante GPT0,286
Écart entre enseignants0,256 · 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