English
Subsurface flow with uncertainty : applications and numerical analysis issues
Multi angle
Auteurs : Charrier, Julia (Auteur de la conférence)
CIRM (Editeur )
65C05 - Monte Carlo methods
76M28 - Particle methods and lattice-gas methods
76S05 - Flows in porous media; filtration; seepage
Ressources complémentaires :
http://smai.emath.fr/cemracs/cemracs17/Slides/charrier.pdf
CIRM (Editeur )
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Résumé :
In this talk we first quickly present a classical and simple model used to describe flow in porous media (based on Darcy's Law). The high heterogeneity of the media and the lack of data are taken into account by the use of random permability fields. We then present some mathematical particularities of the random fields frequently used for such applications and the corresponding theoretical and numerical issues.
After giving a short overview of various applications of this basic model, we study in more detail the problem of the contamination of an aquifer by migration of pollutants. We present a numerical method to compute the mean spreading of a diffusive set of particles representing a tracer plume in an advecting flow field. We deal with the uncertainty thanks to a Monte Carlo method and use a stochastic particle method to approximate the solution of the transport-diffusion equation. Error estimates will be established and numerical results (obtained by A.Beaudoin et al. using PARADIS Software) will be presented. In particular the influence of the molecular diffusion and the heterogeneity on the asymptotic longitudinal macrodispersion will be investigated thanks to numerical experiments. Studying qualitatively and quantitatively the influence of molecular diffusion, correlation length and standard deviation is an important question in hydrogeolgy.
Codes MSC : After giving a short overview of various applications of this basic model, we study in more detail the problem of the contamination of an aquifer by migration of pollutants. We present a numerical method to compute the mean spreading of a diffusive set of particles representing a tracer plume in an advecting flow field. We deal with the uncertainty thanks to a Monte Carlo method and use a stochastic particle method to approximate the solution of the transport-diffusion equation. Error estimates will be established and numerical results (obtained by A.Beaudoin et al. using PARADIS Software) will be presented. In particular the influence of the molecular diffusion and the heterogeneity on the asymptotic longitudinal macrodispersion will be investigated thanks to numerical experiments. Studying qualitatively and quantitatively the influence of molecular diffusion, correlation length and standard deviation is an important question in hydrogeolgy.
65C05 - Monte Carlo methods
76M28 - Particle methods and lattice-gas methods
76S05 - Flows in porous media; filtration; seepage
Ressources complémentaires :
http://smai.emath.fr/cemracs/cemracs17/Slides/charrier.pdf
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de Publication : 01/08/17 Date de Captation : 21/07/17 Collection : Ecoles de recherche Sous Collection : Research School Catégorie arXiv : Numerical Analysis ; Fluid Dynamics Domaine(s) : Analyse Numérique & Calcul Formel ; Physique Mathématique Format : MP4 (.mp4) - HD Durée : 01:00:33 Audience : Chercheurs ; Etudiants Science Cycle 2 Download : https://videos.cirm-math.fr/2017-07-21_Charrier.mp4 
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Informations sur la Rencontre
Nom de la Rencontre : CEMRACS - Summer school: Numerical methods for stochastic models: control, uncertainty quantification, mean-field / CEMRACS - École d'été : Méthodes numériques pour équations stochastiques : contrôle, incertitude, champ moyenOrganisateurs de la Rencontre : Bouchard, Bruno ; Chassagneux, Jean-François ; Delarue, François ; Gobet, Emmanuel ; Lelong, Jérôme Dates : 17/07/2017 - 25/08/2017 Année de la rencontre : 2017 URL de la Rencontre : http://conferences.cirm-math.fr/1556.html
Données de citation
DOI : 10.24350/CIRM.V.19201103Citer cette vidéo: Charrier, Julia (2017). Subsurface flow with uncertainty : applications and numerical analysis issues. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19201103 URI : http://dx.doi.org/10.24350/CIRM.V.19201103 |
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