Rate transient analysis of multiple wells system producing at constant bottomhole pressures
Notice bibliographique
Résumé
This paper presents rate transient analysis of multiple wells system producing at constant bottomhole pressures during boundary-dominated flow period in a closed rectangular reservoir. The proposed algorithm is based on an analytical model with numerical approximation, and production decline is predicted through a series of mathematical methods such as the Laplace transform, the Dirac Delta function, convolution, the Green’s function and the superposition principle. The proposed model is validated by the Computer Modeling Group (CMG) simulation, the results show that the proposed model is accurate enough to predict the production performance of multi-well system producing under constant bottomhole pressures during boundary-dominated flow period in a closed rectangular reservoir. We conclude that at a given time, the flow rate of a well decreases as the total number of wells increases and the bottomhole pressures of adjacent wells decrease, while the total reservoir production increases as the bottomhole pressures of reservoir wells decreases. And at a given time, the greater distance between the observation well and adjacent wells, the larger the flow rate and cumulative production the observation well. In terms of the decline rate of the flow rate, it depends on the number of wells, the bottomhole pressures of adjacent wells, and the size of reservoir. The conventional models presented in the literature are mostly empirical or semi-analytical, which are not grounded in fundamental theory. Our proposed model has a solid theoretical basis, it provides a computationally efficient, accurate and convenient method for predicting transient flow rates of multiple wells producing at constant bottomhole pressures in a closed rectangular reservoir. 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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 | 0,001 | 0,002 |
| 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 ».