MétaCan
Menu
Retour à la cohorte
Enregistrement W2081222066 · doi:10.4043/20617-ms

High-Viscosity Oil-Gas Flow in Vertical Pipe

2010· article· en· W2081222066 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueAll Days · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueOil and Gas Production Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPetroleum engineeringAsphaltViscositySlug flowOil sandsOil viscosityGas oil ratioMaterials scienceEnhanced oil recoveryLight crude oilPetroleumPetroleum industryArtificial liftEnvironmental scienceGeologyFlow (mathematics)MechanicsTwo-phase flowComposite materialEnvironmental engineering

Résumé

récupéré en direct d'OpenAlex

Abstract The objectives of this study are to collect data of high-viscosity oil-gas flow in upward vertical pipe and assess the performance of existing mechanistic models developed based on low viscosity liquid experimental results. In this study, oil with viscosity between 0.1 and 0.5 Pa·s (100 and 500 cP) corresponding to temperatures from 37.8 to 15.6 °C (100 to 60 °F) and natural gas at 2.515 MPa (350 psig) pressure are used as the two phases. Superficial oil velocity lies in the range from 0.1 to 1.0 m/s and superficial gas velocity is in the range from 0.5 to 4.0 m/s. The internal diameter of the pipe is 52.5 mm (2.067 in). The experimental measurements include pressure gradient and liquid holdup. The flow pattern and slug characteristics are observed and the images are recorded with a high definition video system through a sapphire window. The experimental results are compared with the predictions of Zhang et al. (2003) unified model and other models, and the gaps are identified. Introduction Heavy oil together with extra heavy oil, bitumen and oil sands constitute 70% of oil resources worldwide. High viscosity liquids (0.1-10 Pa·s) produced in petroleum industry include heavy oil, oil produced at low temperatures close to the pour point such as in arctic or offshore environment and emulsions of oil and water. Production of such high viscosity fluids is a challenge. The conventional artificial lift systems must be modified (Dewan and Elfarr 1981; Szucs and Lim 2005). Pumps and gas lift are viable options. Disadvantages of pumps include the cost of the equipment, frequent (1-3 year) well intervention, low efficiency with high gas and sand productions. Gas lift is an attractive alternative and has already been used in Brazil, Canada, fomer Soviet Union, United States and Venezuela (Anderson and Stelzner 1962; Blann et al. 1999; Butler et al. 2000; Dou et al. 2007; Sakharov and Mokhov 2004; Targac et al. 2005; Trindade and Branco 2005). Field experience shows that high viscosity oils require 3-5 times more lifting gas flow rate than conventional oils. Mechanistic models developed for low-viscosity fluids may not be adequate to fully reflect the effect of high fluid viscosity on the performance of gas lift (Schmidt et al. 1984), e.g. the effect on the Taylor bubble behaviors (White and Beardmore 1962) including the slug length and the drift velocity (Gokcal et al. 2009; Sakharov and Mokhov 2004). High viscosity liquid-gas upward flows in vertical pipes are also of interest in chemical industry. In Schmidt et al., (2008) conducted measurements of void fraction using gamma-densitometer and flow pattern identification with photographs for gas-liquid vertical flow with liquid viscosity ranging 0.7-9.0 Pa·s. Pressure gradient was not reported in their experimental study. Bubble, slug, churn and annular flow patterns were observed. Significant disagreements of void fraction with the existing multiphase correlations were reported. McNeil and Stuart (2003) measured momentum flux, void fraction and pressure distribution at Mach number of 0.4 (mostly annular flow) for liquid viscosities 1-550 cP. Flow patterns were not observed visually and intermittent flow was expected when the load cell vibrated. Sakharov and Mokhov (2004) observed a new phenomenon of positive frictional pressure gradient in their experiments with high viscosity oils. This behavior appears at low superficial liquid velocity and this region increases with increase of viscosity. Field trials in Komi region showed applicability of gas lifting for high viscosity oils, although in some cases the gas injection caused the oil flow to stop. For industrial applications in Russia, Sakharov and Mokhov developed multiphase correlations applicable to the higher viscosity range. They also presented a new correlation for drift velocity with consideration of viscosity effect. From literature review very limited experimental results of high viscosity oil-gas flow in vertical pipes have been found (Table 1). In this study, a mineral oil with viscosities between 100 and 500 cP and Tulsa city natural gas at a pressure of 350 psig are used as the two phases. Superficial oil velocity ranges from 0.1 to 1.0 m/s, and superficial gas velocity from 0.5 to 4.0 m/s. The internal diameter of the pipe is 2.067 in. The experimental measurements include pressure gradient and liquid holdup. The flow pattern and slug characteristics are observed and the images are recorded with a high definition video system through a sapphire window.

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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,505
Score d'incertitude au seuil0,328

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 Opus0,006
Tête enseignante GPT0,207
Écart entre enseignants0,200 · 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