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Enregistrement W2586648114 · doi:10.2118/185069-ms

Simulation of Enhanced Recovery using CO2 in a Liquid-Rich Western Canadian Unconventional Reservoir: Accounting for Reservoir Fluid Adsorption and Compositional Heterogeneity

2017· article· en· W2586648114 sur OpenAlex

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Notice bibliographique

RevueSPE Unconventional Resources Conference · 2017
Typearticle
Langueen
DomaineEngineering
ThématiqueHydrocarbon exploration and reservoir analysis
Établissements canadiensUniversity of Calgary
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Technology Futures
Mots-clésPetroleum engineeringAdsorptionEnhanced oil recoveryReservoir simulationRelative permeabilityPermeability (electromagnetism)HydrocarbonButanePetroleum reservoirReservoir modelingGeologyEnvironmental scienceChemistryPorosityGeotechnical engineering

Résumé

récupéré en direct d'OpenAlex

Abstract Liquid-rich unconventional reservoirs are currently popular targets for development by the industry. However, hydrocarbon liquid recovery in unconventional reservoirs can be very low, primarily due to low permeability, but also partly due to adsorption of heavier hydrocarbon components. Previous studies have demonstrated that the heaviest components (butane+) are the most strongly adsorbed while being the most valuable commodity. Therefore, the development of methods to enhance recovery of these strongly-adsorbed components is very appealing to operators. The purpose of this study is therefore to investigate the possibility of incremental recovery of oil in a low-permeability reservoir by injecting a non-hydrocarbon gas (CO2) into the reservoir using a huff-n-puff procedure. A feasibility study of CO2-enhanced production in a liquid-rich (volatile oil) low-permeability (tight) reservoir in Western Canada is conducted using rigorous compositional simulation combined with multi-component adsorption modelling. The simulation model used for a sensitivity analysis was previously calibrated using flowback data obtained from a multi-fractured horizontal well (Clarkson et al., 2016a). A unique aspect of that study was that multi-layer PVT and fluid properties in the reservoir were estimated using a novel procedure; however, adsorption of the reservoir fluids was ignored. In the current study, an innovative approach developed by Clarkson and Haghshenas (2016) was applied for estimating high pressure/temperature (in-situ) adsorption of reservoir fluid components and CO2 using a combination of low pressure adsorption data and the simplified local density model. This approach was required because, typically, the only reservoir samples available along horizontal wells are cuttings, which are not available in sufficient quantities for direct high pressure adsorption measurements. A general equation was also developed for defining the diffusivity coefficient in nanopores which can be directly applied in a commercial numerical simulator. Sensitivity studies were then performed for different huff-n-puff operating conditions, and for the range in different reservoir fluids obtained by Clarkson et al. (2016a). The huff-n-puff sensitivity study demonstrates that, for the operating conditions applied, results of CO2 injection are positive (incremental recovery over primary production) only when adsorption/diffusion effects are included in the model. Further, for the 1000 day evaluation period, the combination of shorter injection times (40 days) and longer soak periods (60 days) are required to yield incremental recovery. When uniform in-situ fluid compositions are assumed, lower saturation pressure fluids are more amenable to the CO2 huff-n-puff procedure than higher bubble point fluids. However, when fluid compositions vary by geologic horizon, as they do in this study, this heterogeneity must be considered in the analysis for an accurate assessment of CO2 EOR. To our knowledge, this is the first time that reservoir fluid component adsorption and reservoir fluid property variability by layer in an unconventional reservoir has been considered while planning for CO2-enhanced liquid recovery. This study provides some insight into the selection of optimal well operating conditions for CO2 injection while considering the effects of adsorption selectivity, pore wall-fluid molecular interaction, and thermodynamic behavior of the fluid.

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.

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)0,001
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: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,061
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 Opus0,044
Tête enseignante GPT0,290
Écart entre enseignants0,246 · 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