Modelling Physical Dispersion in Miscible Displacement-Part 2: Validation, Numerical Tests, and Applications
Notice bibliographique
Résumé
Abstract A new method for the incorporation of physical dispersion into miscible displacement models was developed in an accompanying paper(1). This paper presents the numerical tests for validation of the proposed formulation, and applications for demonstration of the method in certain practical situations. The examples include miscible displacement in a linear system, miscible displacements in a quarter of a five-spot pattern, and the application of the proposed method in the simulation of vapour extraction (VAPEX) process. Introduction Molecular diffusion and mechanical dispersion are the main mechanisms responsible for gas-oil mixing that occurs in miscible displacements. Together, these mechanisms are called physical dispersion and appear as the coefficient of the second order derivative of concentration in the convection-diffusion equation. The dispersion coefficient is tensorial in nature and requires special treatment for inclusion in the molar conservation equations, especially for models with complex reservoir geometries. A new method based on a multi-point control-volume procedure was developed for incorporation of physical dispersion in miscible displacement modeling(1) on 3D hexahedron structured corner-point grids. The method was implemented in a compositional simulator that has a provision for a higher order scheme(2) to reduce numerical dispersion. This paper seeks to address validation, testing, and application aspects of the implementation. These are done on few single and multi-dimensional miscible displacement problems. The methodology consists of using full tensor formulation of physical dispersion based on a flux continuous multi-point control-volume procedure in conjunction with a scheme for the reduction of numerical dispersion. For the latter, wherever necessary, a higher order scheme with a total variation diminishing (TVD) flux limiter(2) is used. The thermodynamic calculations are done with the Peng-Robinson equation-of-state(3). Model Validation Validation of the Proposed Formulation With Analytical Solutions These runs compare numerical solution obtained from the proposed method with the analytical solution for miscible displacement in models with simplified geometry and well-defined boundary and initial conditions, and under assumptions necessary for arriving at the analytical solution. First, the analytical solutions are briefly presented followed by the model description and numerical solution with the proposed method. The Analytical Solution to 1D Convection-Diffusion Equation The flow of a component in a phase can be described by the convection- diffusion (C-D) equation in 1D, dimensionless form(4): Equation 1–5 (available in full paper) where C, CI, and CJ indicate current, initial, and injected concentrations, and L denotes the distance over which longitudinal dispersion, De, is measured. The dimensionless time, tD, corresponds physically to the number of cumulative pore volumes injected into the medium. The other variables are defined in the nomenclature. Equation (1) assumes flow of a single phase incompressible fluid in permeable media and ideal mixing. The analytical solution of Equation (1) for miscible displacement of an initially uniform fluid distribution in a finite length L under the boundary conditions: Equation 6a-6c (available in full paper) has the form of an infinite series of error functions where successive terms arise from the superimposed reflections at the outlet.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| 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 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 source (Gemma direct ou Codex distillé), 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 ».