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Enregistrement W4235283025 · doi:10.2523/107206-ms

Free-Fall Gravity Drainage in Fractured Matrix Blocks: Experimental andNetwork Modeling Simulation Findings and Observations

2007· article· en· W4235283025 sur OpenAlexaffabout
Alireza Mollaei, Manouchehr Haghighi, Brij Maini

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueCO2 Sequestration and Geologic Interactions
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésCitationLatin AmericansComputer scienceGravity model of tradeLibrary scienceEngineeringPolitical scienceBusiness

Résumé

récupéré en direct d'OpenAlex

Free-Fall Gravity Drainage in Fractured Matrix Blocks: Experimental and Network Modeling Simulation Findings and Observations Alireza Mollaei; Alireza Mollaei Petroleum U. of Tech Iran Search for other works by this author on: This Site Google Scholar Manouchehr Haghighi; Manouchehr Haghighi University of Tehran Search for other works by this author on: This Site Google Scholar Brij B. Maini Brij B. Maini U. of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the Latin American & Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, April 2007. Paper Number: SPE-107206-MS https://doi.org/10.2118/107206-MS Published: April 15 2007 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Mollaei, Alireza, Haghighi, Manouchehr, and Brij B. Maini. "Free-Fall Gravity Drainage in Fractured Matrix Blocks: Experimental and Network Modeling Simulation Findings and Observations." Paper presented at the Latin American & Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, April 2007. doi: https://doi.org/10.2118/107206-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 Latin America and Caribbean Petroleum Engineering Conference Search Advanced Search AbstractFree Fall Gravity Drainage as an important recovery mechanism was investigated and analyzed experimentally and by numerical (network model) simulation.Sets of glass micromodels with real pattern of porous media and two numerical network model simulators were prepared in forms of fractured and non-fractured models to study and analyze the Free Fall Gravity Drainage recovery mechanism experimentally and by simulation. After validating the network model simulator, analysis of experimental and simulation results leads to some interesting findings and observations as follow:Based on network modeling simulation, direction of flow through fracture network shows that the oil in the middle horizontal fracture usually flows from one end of fracture to the other end, however in relatively small fracture apertures the oil from both vertical fractures at the ends of middle horizontal fracture flows into the horizontal fracture and then sinks downward to the lower matrix block. This means in relatively small fracture apertures, block to block interaction coefficient (a) reaches to 100%. Another point is that, it was observed from network model simulation data that this critical fracture aperture is a function of pore and throat sizes.Also, experimental and simulation results confirm that there is no break through of gas in free fall gravity drainage process.In addition a new mathematical approach (by means of flow potential and control volume concepts) to block to block interaction effects (Capillary Continuity and Reinfiltration phenomena) is presented to explain and interpret the mechanism of occurrence of these phenomena. This approach proves mathematically that decreasing the fracture aperture leads to increasing the fracture capillary pressure which in turn intensifies the feeding rate of liquid bridge (in the middle horizontal fracture) from upper block and lowers the discharging rate of liquid bridge from lower matrix block. Therefore, the liquid bridge can be more stable between the matrix blocks. As a result, fracture capillary pressure has positive effect on oil recovery from matrix blocks.Finally, a new approach for determination of the matrix block threshold heights at the end of free fall gravity drainage is presented and used to prove that matrix block threshold height inreases with increasing the matrix block height. Also, it will be proved that matrix block recovery factor increases with increasing the matrix block height although matrix block threshold height increases too.IntroductionMultiphase flow in porous media at pore-scale is of great importance in many fields like hydrology, contaminant cleanup and petroleum engineering. Visualization of fluid flow at pore-scale is performed by using glass micromodels and network modeling tries to simulate (model) this physical process by reconstructing the porous media as a network of pores and throats and applying the governing rules to the transport and arrangement of fluids. Macroscopic properties like capillary pressure, electrical resistively or relative permeability can then be estimated across the network 4,5,10,11,16–19. At the first step, visualization and numerical simulation of free fall gravity drainage in single matrix and fractured blocks models was performed by the current authors that has been fully described in the previous paper 12. In the current paper, some of the main experimental and network modeling simulation features and findings of free fall gravity drainage process in fractured blocks model are discussed.Modeling of flow behavior using network models was pioneered by Fatt 1–3 in the 1950s. By distributing the pores and throats on a regular 2D lattice he was able to produce capillary pressure and relative permeability curves for drainage (as a function of average saturation) that had the same characteristics as those obtained experimentally.Laroche 7 et al developed a pore network model to predict the effects of wettability heterogeneities with different patterns and spatial distributions on displacement mechanisms, sweep efficiency, and fluid distribution in gas injection into oil and water. The presented network model simulator in this paper has similar pore and throat shapes to Laroche's network model. Keywords: enhanced recovery, complex reservoir, Modeling & Simulation, Upstream Oil & Gas, flow in porous media, Fluid Dynamics, Gravity Drainage, matrix block height, hydraulic fracturing, fracture aperture Subjects: Hydraulic Fracturing, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Unconventional and Complex Reservoirs, Flow in porous media, Naturally-fractured reservoirs This content is only available via PDF. 2007. 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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,043
Score d'incertitude au seuil0,086

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,026
Tête enseignante GPT0,303
Écart entre enseignants0,277 · 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'étudeSimulation ou modélisation
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
Publié2007
Routes d'admission2
Résumé présentoui

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