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Enregistrement W2002885622 · doi:10.2118/07-02-03

Capillary Number Correlations for Gas-Liquid Systems

2007· article· en· W2002885622 sur OpenAlexafffundabout
Meng Ding, Apostolos Kantzas

Notice bibliographique

RevueJournal of Canadian Petroleum Technology · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensUniversity of Calgary
Organismes subventionnairesCanada Research Chairs
Mots-clésImbibitionCapillary actionCapillary pressureSaturation (graph theory)Residual oilPetroleum engineeringWettingResidualWater saturationWater injection (oil production)Geotechnical engineeringChemistryGeologyMaterials sciencePorous mediumPorosityComposite materialMathematics

Résumé

récupéré en direct d'OpenAlex

Abstract Conventional capillary number theory predicts that residual oil will not be mobilized until a critical capillary number (2E - 5) is exceeded. This theory was tested to determine residual oil saturation mobilization after forced water imbibition. In the literature, high residual oil saturation was established from waterflooding at a certain pressure. Then gradually increasing pressure was applied for water injection until residual oil production was observed. It was confirmed that this critical capillary number is applicable when the initial residual oil saturation was estimated from spontaneous water imbibition tests. The same types of experiments were repeated for gas-liquid systems by creating the initial residual gas saturation through spontaneous oil or water imbibition tests on the same samples. The procedures, which included spontaneous imbibition tests followed by forced imbibition tests, were monitored by an on-line NMR system. Analysis of the experimental results produced an estimate of the critical capillary number for mobilizing residual gas from water imbibition or oil imbibition tests. In this research, we broadened the term of "imbibition" for both water and oil terms since, compared to gas, both water and oil are in the wetting phase. It was found that the critical capillary number for a gas-liquid system is very different from that of an oil-water system in the same type of rock. Berea sandstone plugs were used in all the experiments. The reason for using Berea sandstone plugs is due to their relatively homogeneous pore structure. Additional Western Canadian sandstone plugs were used for testing gas-water systems to confirm the results obtained from the Berea sandstone plugs. Understanding the different mechanisms to produce discontinuous residual oil or residual gas is important for enhanced oil and gas recovery operations. Hopefully, this research can provide new insights into recovering additional gas from gas reservoirs with active aquifers. Introduction Increasing the capillary number has long been investigated as a strategy for improving oil recovery. Many methodologies around increasing the capillary number have been either tested in the laboratory or applied in the field. Capillary number is defined as the ratio of viscous forces to capillary forces. Evaluation of the capillary number can be used to describe the relative importance of viscous forces to capillary forces during immiscible displacements. There are various forms of the capillary number. The most common versions of capillary number are those by Saffman and Taylor(1): Equation (1) (Available in full paper) and Melrose and Brandner(2): Equation (2) (Available in full paper) When non-wetting phase oil is trapped in porous media, the pressure gradient required to move it through a capillary tube is much higher than what would be predicted by the pipe flow equation, due to the pressure discontinuity at the wetting/non-wetting interface. Because of the contact angle hysteresis, this discontinuity is not of the same magnitude on both sides of the discontinuous non-wetting phase. For example, in a water-wet medium, an oil droplet represents the discontinuous non-wetting phase. As the oil droplet is pushed through a pore throat, its downstream end gets squeezed into a much narrower segment making its radius of curvature much smaller than the upstream part.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,435
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,001
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 Opus0,006
Tête enseignante GPT0,219
Écart entre enseignants0,212 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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

Citations51
Publié2007
Routes d'admission3
Résumé présentoui

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