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Enregistrement W4240781597 · doi:10.2523/97783-ms

A New Semiautomatic PVT Apparatus for Characterizing Vapex Systems

2005· article· en· W4240781597 sur OpenAlexafffundabout
N. P. Freitag, S.G. Sayegh, Ray Exelby

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensSaskatchewan Research Council (Canada)
Organismes subventionnairesPetroleum Technology Research Centre
Mots-clésCitationLibrary scienceComputer scienceGeorge (robot)Information retrievalEngineeringOperations researchArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

A New Semi-Automatic PVT Apparatus for Characterizing Vapex Systems Norman P. Freitag; Norman P. Freitag Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Selim George Sayegh; Selim George Sayegh Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Ray Exelby Ray Exelby Saskatchewan Research Council Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-97783-MS https://doi.org/10.2118/97783-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Freitag, Norman P., Sayegh, Selim George, and Ray Exelby. "A New Semi-Automatic PVT Apparatus for Characterizing Vapex Systems." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97783-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 International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractKnowledge of fluid properties is critical to the design of Vapex projects and other enhanced oil recovery processes that use solvent vapor extraction, yet very few pertinent data exist in the published literature. This paper describes a new apparatus for the efficient and accurate measurement of the physical and phase behaviour properties of mixtures of heavy oils and solvents such as propane and butane. The apparatus combines advanced capabilities that make it superior to conventional designs: The automated functions improve the speed at which the data are acquired and reduce operator error. Inline density and viscosity measurements add the capability of multi-phase detection. High-pressure filtration permits measurement of asphaltene and wax precipitation at reservoir conditions. Dual gasometers allow accurate measurements of gas solubility over a wide range of solvents and reservoir pressures. Sub-ambient temperature control makes it suitable for Canadian operations.The apparatus was tested against published measurements for the n-hexadecane-carbon dioxide system, and then used to gather a comprehensive suite of data at two isotherms for a Lloydminster heavy oil-propane system. Random scatter in the resulting data was very small. The equipment is well suited to the acquisition of fluid property measurements for both field design and correlation purposes.With the improvements in both the precision of measurements and the speed of operation offered by the new equipment, it was possible to test some assumptions used in measuring vapor-liquid equilibrium in heavy oil-solvent systems. The results suggested that a noticeable uncertainty may be associated with conventional methods used to determine saturation pressures in these systems.IntroductionNumerical reservoir simulation has become an important tool for the screening and design of enhanced oil recovery processes. Processes that involve volatile solvents are dominated by phase equilibrium boundaries and the effects of dissolved solvent on the properties of the oil phase. It is therefore essential that these effects be represented accurately during simulation.Most simulations depend, either directly or indirectly, on a cubic equation of state to provide the input parameters that govern the calculation of solvent solubility, phase boundaries, and phase densities. For heavy oils and bitumens, these properties cannot be predicted accurately. Consequently, the tuning of an equation of state requires laboratory data on the solvent solubility and the associated changes to the oil-phase properties for any specific solvent-oil mixture. Such data are normally acquired with an apparatus designed to measure the pressure-volume-temperature (PVT) relationships of fluid mixtures.For the original Vapex process,[1] the prediction of the production performance from horizontal production wells was based on an explicit formula in which the effects of viscosity and density changes were contained within a single parameter. The values of this parameter were derived from the production performance of laboratory models. As a result, the PVT data needed for the preparation of simulator input were not required and therefore not measured by most earlier investigators, even when the effects of previously untested solvents such as butane were examined.[2] There exist, therefore, only a few data in the literature on the effects of common solvents on the properties of heavy oils and bitumens.Mehrotra and Svrcek[3–7] measured the solubilities of carbon dioxide and ethane (and several lighter gases) in several bitumens, and have provided some measurements on the effects of these solvents on oil density and viscosity. Keywords: solvent concentration, propane concentration, oil sand, solubility data, enhanced recovery, heavy oil, canadian petroleum technology, upstream oil & gas, kpa, higher pressure Subjects: Fluid Characterization, Improved and Enhanced Recovery, Unconventional and Complex Reservoirs, Phase behavior and PVT measurements, Oil sand, oil shale, bitumen This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium 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)0,001
score de la tête « metaresearch » (Gemma)0,003
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: aucune
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,002
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0130,006

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 Opus0,020
Tête enseignante GPT0,271
Écart entre enseignants0,251 · 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

Citations12
Publié2005
Routes d'admission3
Résumé présentoui

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