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Enregistrement W1993157572 · doi:10.2118/138127-ms

A Mechanistic Analysis of Viscous Fingering in Low-Tension Polymer Flooding in Heavy-Oil Reservoirs

2010· article· en· W1993157572 sur OpenAlex
Benyamin Yadali Jamaloei, Riyaz Kharrat, Farshid Torabi

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Notice bibliographique

RevueSPE Latin American and Caribbean Petroleum Engineering Conference · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensUniversity of ReginaUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésViscous fingeringInstabilityMechanicsSurface tensionPetroleum engineeringEnhanced oil recoveryScalingDisplacement (psychology)Permeability (electromagnetism)Capillary actionCapillary pressureViscous liquidGeotechnical engineeringMaterials scienceGeologyPorous mediumPhysicsChemistryThermodynamicsMathematicsComposite material

Résumé

récupéré en direct d'OpenAlex

Abstract Low tension polymer flooding (LTPF) can be considered as an alternative enhanced oil recovery method for some heavy oil reservoirs where thermal and miscible gas-injection methods face technical and environmental challenges. To properly tailor LTPF to a heavy oil reservoir, it should be optimized via simulation in the lab, pilot, and field scales. However, simulation normally suffers from the paucity of detailed knowledge of viscous instability or fingering effects, due to displacing a more viscous fluid by a less viscous one. This instability reduces displacement efficiency and may invalidate usual method of simulating LTPF performance based on relative permeability and capillary pressure concepts. Also, it introduces an additional scaling requirement for using results of experiments in larger scales. Thus, predicting instability nature is of particular concern, to avoid viscous fingering, or, where it is inevitable, to be capable to include it as an additional factor in modeling displacement. Major limitations of previous approaches for studying viscous fingering in immiscible displacements are that reported experiments have been conducted utilizing linear displacements schemes in media with high, single-phase permeabilities. Consequently, the questions that arise are whether previous findings can be valid in low-permeability media and using displacement schemes similar to the oil-field patterns (e.g., five-spot). In oil-field patterns, one has to deal with varying velocity profiles from injector(s) to producer(s). Because velocity is one controlling factor in viscous fingering, the effect of dispersion caused by varying velocity profiles has not been tested completely on viscous fingering in previous experimental studies. To help understand viscous fingering in LTPF in heavy oil reservoirs and to overcome the limitations of previous studies, we conducted experiments in low-permeability, one-quarter, five-spot patterns. New insights into the main driving mechanisms for viscous fingering are proposed. In summary, the mechanisms of spreading, splitting, coalescence, and microscopic crossflow drive the finger growth. In addition, the viscous fingers are readily initiated in the porous medium, but they can be damped out before traveling very far. This damping of the viscous fingers is due to the flow of the two phases in a direction transverse to the direction of bulk fluid movement (along the mean free path) as a result of dispersive processes such as stream splitting. Also, the initially- developed fingers may deteriorate over the time of displacement. This depends on the distance between the injector and producer and width of the porous medium. The presence of instabilities that look like fingers and stable displacements behind the unstable front were discovered. The results also indicate that a stable zone exists and progresses throughout the porous medium at varying velocities. This was the reason for considerable ultimate recovery observed after breakthrough where numerous pore volumes were injected. Finally, we reveal three different types of displacements that occurred: stable displacements, displacement with macroscopic viscous fingering, and displacements with both macroscopic and microscopic viscous fingering. Therefore, in LTPF, macroscopic and microscopic fingering exist and flow theory must include both to match the experimental results. Additionally, the differences between microscopic and macroscopic fingering has not been incorporated in available reservoir simulations. Hence, these two phenomena need to be modeled in simulations.

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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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,661
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 GPT0,209
Écart entre enseignants0,203 · 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