Numerical Modeling of Multi-mechanistic Gas Production from Shale Reservoirs
Notice bibliographique
Résumé
Shale and ultratight gas reservoirs have recently been contributing to the energy industry and gas market to a large extent. The dynamics of shale gas transport in porous media is of practical importance in several scientific and engineering applications. The characteristics of the transport inside the pore space are governed by the mechanisms that occur at the pore level. Recent advances in computational power provide the opportunity to investigate these phenomena further. In this study, a methodology is developed to create a model in which all the major transport mechanisms involved in shale gas flow are taken into account. The mechanisms include viscous flow, gas slippage, Knudsen diffusion, competitive adsorption of different gaseous components, pore size variation and real gas effect. The model is then utilized on one hand to derive parameters such as apparent gas permeability and matrix-fracture fluid exchange term (a.k.a. shape factor) which can reduce the computational load while preserving the accuracy and on the other hand to study the response of shale gas reservoirs to the feasibility and potentials of carbon storage and enhanced gas recovery as well as phenomena such as nano-confinement and chromatographic separation. The compositional effects of shale gas can be lumped into a single component using the apparent permeability which deems to capture the relevant physics and can replace the Darcy permeability. The shape factor required for Darcy scale simulation of shale gas reservoirs obtained from the detailed numerical simulations of multi-mechanistic multi-component shale gas flow can be modeled versus dimensionless pressure to capture the transient behavior of the matrix-fracture fluid transfer in a time-independent fashion. The stronger adsorption of CO2 over CH4 to shale surface makes the partially depleted shale gas reservoirs a promising target for CO2 storage as well as enhanced natural gas recovery. Up to 55% of the injected CO2 can be trapped as adsorbed phase and up to 16% incremental methane recovery can be achieved. The phase behavior of the confined shale gas is significantly different than the behavior of the bulk fluid. Nano-confinement could shift critical properties significantly. The effect of confinement on phase diagrams and compositional variations of the gas in place was also investigated via numerical simulations. The computed apparent permeability and shape factor can be directly used in the macroscale reservoir simulators to accurately predict the performance of a shale gas reservoir and the outcomes of this study will find applications in the design and implementation of an efficient CO2 injection and investigating compositional effects in shale gas simulations.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».