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Enregistrement W4255194349 · doi:10.2523/84033-ms

Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel

2003· article· en· W4255194349 sur OpenAlexaffabout
Bora Rupam, Chakma Amit, Brij Maini

Notice bibliographique

RevueProceedings of SPE Annual Technical Conference and Exhibition · 2003
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMicromodelCitationExhibitionEngineeringPetroleum engineeringComputer scienceLibrary scienceArchaeologyGeographyGeotechnical engineeringPorosityPorous medium

Résumé

récupéré en direct d'OpenAlex

Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel Rupam Bora; Rupam Bora University of Calgary Search for other works by this author on: This Site Google Scholar Amit Chakma; Amit Chakma University of Calgary Search for other works by this author on: This Site Google Scholar Brij B. Maini Brij B. Maini University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. Paper Number: SPE-84033-MS https://doi.org/10.2118/84033-MS Published: October 05 2003 Connected Content Related to: Investigating Foamy-Oil Flow With a High-Pressure Etched-Glass Micromodel Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Bora, Rupam, Chakma, Amit, and Brij B. Maini. "Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel." Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. doi: https://doi.org/10.2118/84033-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractA series of flow visualization experiments were carried out using a high-pressure etched glass micromodel to gain insight into the pore level processes involved in foamy oil flow. The micromodel incorporated a realistic heterogeneous pore network with well-defined pore size distribution and pore throat size distribution. Solution gas drive experiments were conducted using a crude heavy-oil, a deasphalted fraction of the same crude oil, a synthetic mineral oil and a much lighter crude oil. The experimental results show that the rate of pressure drawdown was the most important parameter that altered the flow behaviour in the pore scale level and induced "foaminess" during the solution gas drive process. The dispersed gas flow occurred only in high rate tests and the dispersion was created by break-up of mobilized gas ganglia.Mathematical expressions for nucleation rate were derived for various oil samples. A metering section at the downstream end of the micromodel was used to measure the volume of fluids expelled from the pore network. These volume measurements were used to estimate the total compressibility of the reservoir fluids before the formation of visible bubbles. The compressibility numbers were used to infer the presence or absence of micro-bubbles that would be too small to be seen but could contribute significantly to oil recovery. The estimated compressibility values suggest thatt some microbubbles were perhaps evolved during the depletion process. However, it appears that most of these microbubbles remained attached to the pore walls; only a handful became detached and grew into larger bubbles.IntroductionFoamy oil flow is considered to be an important contributing mechanism in the better than expected performance of solution gas drives in many Canadian and Venezuelan heavy oil reservoirs. The foamy flow occurs when the solution gas released during the depletion is able to flow through the sand while remaining dispersed in the oil. In laboratory depletion tests, it occurs when a high enough rate of pressure decline is used. Several laboratory studies have reported a dramatic effect of depletion rate on the performance of solution gas drive in heavy oil systems (Handy, 1958; Sheng et al.,1999; Pooladi-Darvish and Firoozabadi, 1999; Bayon et al. 2002). The recovery factor are reported to be much higher when higher rates of pressure decline are used. Several theories have been postulated to explain this dependence of recovery factor on rate of pressure decline (Firoozabadi, 2001; Shen and Batycky, 1996; Maini 1999; Smith 1988). The most plausible explanation appears to be based on the formation and flow of a gas-in-liquid dispersion that is often referred to as "foamy oil" (Maini, 2001). The dispersed flow of gas delays the formation of a continuous gas phase that would normally be able to flow at a higher rate and will eventually result in rapid depletion of the reservoir energy. This ability of gas to flow while remaining dispersed in the oil appears to be the mechanism that keeps the gas mobility low during depletion.The factors responsible for creating dispersed flow of gas are not well understood. Several authors have suggested that such dispersions are formed by nucleation of a very large number of bubbles (Arora and Kovscek, 2001; Claridge and Prats, 1995, Smith 1988). The term "explosive nucleation" has been employed by some to dramatize the situation (Gelikman et al., 1995). What happens beyond the nucleation stage has not been fully delineated. It has been suggested that these bubbles remain smaller than the pore-throat size and are produced with the oil (Smith, 1988). An alternate explanation considers the foamy oil flow to be simply a case of two-phase flow at high capillary number where the viscous forces are high enough to mobilize isolated gas ganglia (Maini, 2001). Keywords: nucleation rate, nucleation, bubble nucleation, experiment, reservoir surveillance, depletion, compressibility, solution gas drive, oil sample, production control Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Flow in porous media This content is only available via PDF. 2003. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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 enseignants0,039
Score d'incertitude au seuil0,725

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 savante0,0000,001
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 Opus0,018
Tête enseignante GPT0,238
Écart entre enseignants0,220 · 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

Citations0
Publié2003
Routes d'admission2
Résumé présentoui

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