Prediction of Volumetric Sand Production Using a Coupled Geomechanics-Hydrodynamic Erosion Model
Notice bibliographique
Résumé
Abstract The production of sand grains from an unconsolidated porous solid matrix under viscous fluid flow is inevitable. While sand production has been found to effectively increase well productivity in both heavy oil and conventional light oil reservoirs, it can also lead to geomechanical problems such as sand failure and cavity (wormhole) formation. The paper investigates the phenomenon of sand production in a thick wall cylinder test that mimics both axial and radial flow near an oil well perforation. Then, an actual well section with perforations is analyzed with respect to sand production, failure, and cavity formation in the form of a wormhole. The numerical analysis is based on a reservoir-geomechanics model developed by the authors over the past several years. The model considers oil, fluidized sand, and sand phases interacting together through mechanical stresses and hydrodynamics within the framework of mixture theory. Interesting sand production mechanisms emerge from the interaction between geomechanics and an erosion process by which sand grains are detached from the solid matrix due to both fluid and stress gradients, once a certain level of material failure is reached. Introduction Sand production is a costly and inevitable phenomenon that occurs whenever drag forces on sand particles, induced by fluid flow and/or solution-gas drive, exceed the inter-granular forces (related to macroscopic strength of formation) so as to lead to the loss of mechanical integrity. This pre-supposes that the material has to undergo yielding and reach incipient failure from a geomechanical viewpoint before sand production may occur. There could also be another mechanism by which the sand grains crush under extreme stresses and fragment into smaller particles that become mobile. In any of the above cases, the material collapses locally, and the sand fragments are carried into the wellbore where they can block the flow, damage pumps and pipes, and contaminate the produced oil. Sand production creates cavities in the formation that continually increase in size and eventually become unstable, leading to the collapse of the wellbore. Each year, sanding problems cost the oil industry hundreds of millions of dollars. Hence, it is pertinent to study the mechanics of sand failure and its interaction with hydrodynamics with the view of developing an efficient computational model that can be used to predict sand production during field operations. Vardoulakis et al.(1) were probably among the first to tackle the sand production problem as an erosion phenomenon, proposing a hydro-erosion model based on rigid porous media within a continuum mechanics framework in which mass balance is applied to a three-phase system comprised of solid, fluid, and fluidized solid using mixture theory(2). Subsequently, Wan and Wang(3–6) extended this pure erosion model to include the effect of the deformation of porous media, and more explicitly, material failure aspects. This approach results in solving a set of coupled non-linear time-dependent equations with fluidized solid concentration, fluid pressure, porosity, and deformation as main variables.
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 | 0,006 | 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 ».