Genetic-like modeling of fracture network honoring connectivity data in the geothermal heat exchanger at Soultz-sous-Forêt (France)

Francois Bonneau and Guillaume Caumon and Judith Sausse and Philippe Renard. ( 2011 )
in: Proc. IAMG., pages 286-292

Abstract

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).

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BibTeX Reference

@INPROCEEDINGS{,
    author = { Bonneau, Francois and Caumon, Guillaume and Sausse, Judith and Renard, Philippe },
    editor = { Marschallinger, R. and Zolb, R. },
     title = { Genetic-like modeling of fracture network honoring connectivity data in the geothermal heat exchanger at Soultz-sous-Forêt (France) },
 booktitle = { Proc. IAMG. },
      year = { 2011 },
     pages = { 286-292 },
       doi = { 10.5242/iamg.2011.0094 },
  abstract = { 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). }
}