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Enregistrement W4244168252 · doi:10.2523/69725-ms

Experimental Investigation of Foamy Oil Solution Gas Drive

2001· article· en· W4244168252 sur OpenAlexaboutno aff
A.M. Kamp, C. Heny, L. Andarcia, M. Lago, A. Rodriguez

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationComputer scienceLibrary scienceFossil fuelEngineeringWaste management

Résumé

récupéré en direct d'OpenAlex

Experimental Investigation of Foamy Oil Solution Gas Drive A.M. Kamp; A.M. Kamp PDVSA Intevep Search for other works by this author on: This Site Google Scholar C. Heny; C. Heny PDVSA Intevep Search for other works by this author on: This Site Google Scholar L. Andarcia; L. Andarcia PDVSA Intevep Search for other works by this author on: This Site Google Scholar M. Lago; M. Lago PDVSA Intevep Search for other works by this author on: This Site Google Scholar A. Rodriguez A. Rodriguez PDVSA Intevep Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. Paper Number: SPE-69725-MS https://doi.org/10.2118/69725-MS Published: March 12 2001 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Kamp, A.M., Heny, C., Andarcia, L., Lago, M., and A. Rodriguez. "Experimental Investigation of Foamy Oil Solution Gas Drive." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. doi: https://doi.org/10.2118/69725-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractA five-year laboratory and simulation investigation on heavy-oil solution-gas drive processes is reported. It is shown how the interpretation of these processes has changed over the years. Initially, it was attempted to take into account the "bubbly" character of the oil by changing the oil thermodynamical properties. Non-conventional PVT properties accounted for supersaturation and trapped gas bubbles. Later, in agreement with work in other research groups, the low produced gas-oil ratio and high recovery factors were modeled by introducing low gas-oil relative permeability. This allowed for history matching of laboratory and field data, but doubts remain about the predictive capacity of reservoir simulation models. This doubt is motivated by the observed flow geometry of the (dispersed flow), which is not physically taken into account in the reservoir simulation equations. It is concluded that more work is necessary on the determination of the mechanisms that govern the flow, and on the development ofm odels that more correctly represent the physics of dispersed gas-liquid flow in porous media. Further experiments in cores and micromodels, together with microscopic modeling of flow in pore spaces, should be part this work.IntroductionThe term foamy oil describes dispersed gas-liquid two-phase flow that occurs in heavy oil reservoirs during primary production1. This heavy oil production process for is often characterized by a behavior that differs from what would have been expected using traditional reservoir engineering and simulation. Typical observations are high production rates, high primary production recovery, and good pressure maintenance. Many of the heavy oil reservoirs where those observations have been made are situated in the Venezuelan Orinoco Belt2,3 and in Canada4,5 (e.g. Lloydminster).An extensive amount of papers has been published on these phenomena, in which possible explanations were offered, often with the premise of developing better models. Good review papers have appeared1 in which the different phenomenological models that have been developed are discussed.In this article, we do not present a complete review of the available work. Instead, we discuss some specific research that has been carried out in Venezuela over the last few years, focussing on some specific issues and viewpoints with regard to foamy oil. The review starts with work carried out five years ago. The main focus of that initial work was the investigation of apparent thermodynamical properties of foamy oil during depressurization. This initial work was related to a paper published by Kraus et al.6 on a pseudobubble point model for foamy oils. This model tried to incorporate the trapping of bubbles by the oil through changing the apparent oil properties. We implemented laboratory experiments in a PVT cell that allowed characterizing experimentally the trapping of gas by the oil7. The results were applied to field simulation showing improvement in the history matching of the production process. Keywords: permeability, experimental investigation, porous medium, solution gas drive, pvt measurement, spe 69725, flow in porous media, fluid dynamics, supersaturation, investigation Subjects: Fluid Characterization, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Phase behavior and PVT measurements, Flow in porous media This content is only available via PDF. 2001. 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,009
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,012
Tête enseignante GPT0,228
Écart entre enseignants0,217 · 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 source (Gemma direct ou Codex distillé), 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

Citations5
Publié2001
Routes d'admission1
Résumé présentoui

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