Genetic-like modeling of fracture network honoring connectivity data in the geothermal heat exchanger at Soultz-sous-Forêt (France)
Résumé
This paper reports on our investigations to integrate reservoir connectivity data in a genetic-like modeling of discrete fracture networks (DFN). DFNs are built using a three-step workflow to mimic fracture growth process: (1) initialization, (2) growth and (3) termination. Location and density of fractures are then iteratively updated using a fast-marching algorithm in order to match DFN connectivity and tracer test data. This methodology is applied to the fractured granitic geothermal heat exchanger at Soultz-sous-Forêts (France).
Domaines
Sciences de la Terre
Origine : Fichiers produits par l'(les) auteur(s)