Coupled Flow Simulation in a Deepwater Reservoir: Fault Leakage Analysis
Notice bibliographique
Résumé
Abstract Proper modeling of water injection projects in undeveloped deepwater reservoirs is important not only from a recovery factor point of view, but also for environmental protection purposes. Around the world some wells producing from reservoirs under water injection were shut down because of oil leakage to sea. Oil reservoirs with major faults that communicate the reservoir to the seabed are sensitive to water injection projects. Oil companies' common practice is to reuse the produced water and to reinject it into the reservoir. This procedure may cause pressure increase, and also may result in fault slip and communication through the fault from the reservoir to the seabed. Therefore, the flow simulation must consider concepts of shear and effective normal stress to estimate the maximum allowed pressure that generate slip in the fault, and, consequently, leakage to the seafloor. The main objective of this study is to explore the production uncertainties in an undeveloped oil reservoir, under water injection project, with a major internal fault, and the role of geomechanics in the fault reactivation. This study developed a new external iterative computational program applied to complex geological geometry that updates geomechanical information for each cell grid, for each time-step and during each Newton's iteration, to estimate the maximum pressure allowed to safely operate a water injection project without any oil leakage to the sea. This new methodology links two commercial simulators: one that emphasizes flow through porous media aspects, and the other that focuses on the geomechanical behavior. The investigations used triaxial laboratory tests performed in Brazil as support information. Sensitivity analyses of reservoir temperature, injection pressure and well location on the fault were carried out, and a comprehensive stress map and oil leakage variation, associated with flow through the fault, was also obtained. Introduction Exploitation of offshore deepwater reservoirs is a challenge to petroleum companies because of high direct development costs. Project costs may increase tremendously if wells need to be shut in or abandoned. A scenario where well this possibility exists occurs in a reservoir with a major fault that connects the petroleum field to the seafloor. During water injection operations the fluid pressure within the fault may increase to a value that leads to fault slip and hydrocarbon flow through the seabed. The hydrocarbon leakage can result in severe environmental damage and must be avoided. A proper simulation model that enables the evaluation of the maximum injection pressure allowed to impede oil leakage during water injection projects is a necessity. Once a reservoir has been discovered, it is essential to characterize it, as accurately as possible, to determine the most effective way of producing the recoverable oil. Reservoir characterization involves a great amount of data that includes the following: geology, laboratory and production data. Increasingly, geomechanical behavior of the reservoir has become an important aspect of the characterization workflow.
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 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 | 0,001 |
| 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) | 0,001 | 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 ».