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Enregistrement W4249944384 · doi:10.2118/2004-147

Effect of Viscosity of Alkaline/Surfactant/Polymer (ASP) Solution on Enhanced Oil Recovery in Heterogeneous Reservoirs

2004· article· en· W4249944384 sur OpenAlexaff
J. Hou, Shuhe Zhang, M. Dong, Xiangan Yue, J. Yang

Notice bibliographique

RevueCanadian International Petroleum Conference · 2004
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensUniversity of Regina
Organismes subventionnairesnon disponible
Mots-clésPulmonary surfactantViscosityPolymerChemical engineeringEnhanced oil recoveryOil viscosityChemistryPolymer solutionPetroleum engineeringMaterials scienceOrganic chemistryGeologyComposite materialEngineering

Résumé

récupéré en direct d'OpenAlex

Abstract There have been numerous laboratory experimental studies and field tests on ASP flooding. Most of the laboratory experiments focused mainly on the effect of the ultra-low oilwater interfacial tension on oil recovery. The relationship between the viscosity of ASP solution and oil recovery efficiency of ASP flooding has not been well understood. In this paper, the relationship between the viscosity of ASP solution and oil recovery in heterogeneous porous models was studied. More than 50 ASP flood tests were conducted using artificial models. These models were made to have different permeability variation coefficients so that ASP floods in homogeneous and heterogeneous reservoirs could be simulated. Sixteen ASP solutions were prepared and used in ASP flood tests. Based on the results of ASP flood tests, the effects on tertiary oil recovery of NaOH concentration and of the balance between the IFT reduction and viscosity increase were discussed. For heterogeneous models, it was found that there existed a minimum viscosity value of ASP solution for ultra-low IFT system to fully function in improving residual oil recovery. This minimum viscosity is defined as critical displacement viscosity in this study. When the viscosity of a ASP solution is lower than the critical displacement viscosity, the oil recovery efficiency of ASP flooding is dominated by the viscosity of the ASP solution; the reduction in interfacial tension to an ultralow level contributed little to oil recovery. When the viscosity is higher than the critical displacement viscosity, both the viscosity and ultra-low IFT contributed to oil recovery. This critical displacement viscosity should be one of the important parameters which can be used to optimize the chemical formula of a ASP flood for a target reservoir. Introduction As a relatively new technology of tertiary oil recovery, alkaline/surfactant/polymer (ASP) flooding has been studied extensively in the last two decades. [1–9] ASP flooding enhances oil recovery through two major mechanisms: increasing the viscosity of displacing solution to improve the sweep efficiency by using polymer and reducing oil-water interfacial tension (IFT) to a very low value (∼10–3 mN/m) to improve the pore level displacement efficiency through the synergetic effect of surfactant and alkaline. [10].Field tests and laboratory studies have shown that ASP flooding is more efficient than any single component flooding, such as alkaline, surfactant, or polymer flooding. [6–8] At present, it is a promising tertiary recovery method and is getting increasingly more attention. Seven field ASP floods have been implemented in Daqing oilfield, China. It was found that in the early stage of some tests high alkaline concentrations could cause alkaline scale problems in the oil formation and the wellbore [8,9,11]. In addition, high alkaline concentration could weaken the efficiency of polymer in increasing the viscosity of the ASP solution. Therefore, the polymer concentration in some field tests was increased from 1,200mg/L to 1,800mg/L, and then to 2,300 mg/L in order to ensure that the viscosity of ASP solution was not lower than 30mPa.s. It was predicted that, with this level of viscosity of the displacing fluid, the oil recovery of ASP flooding could be as high as 20% original oil-in-place (OOIP).

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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,366
Score d'incertitude au seuil0,982

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
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 Opus0,008
Tête enseignante GPT0,229
Écart entre enseignants0,221 · 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'étudeExpérimental (laboratoire)
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

Citations6
Publié2004
Routes d'admission1
Résumé présentoui

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