Assessing geological scenarios with the modeling of heat transfers and uid ows in the geothermal reservoir of Basse-Terre, Guadeloupe

Margaux Raguenel and Francois Bonneau and Judith Sausse and Guillaume Caumon and Thomas Driesner. ( 2018 )
in: 2018 Ring Meeting

Abstract

Understanding the physical processes occurring in a geothermal reservoir is a key point to make decisions about resource exploitation developments. In the frame of the GEOTREF project in Basse-Terre, Guadeloupe, data have been acquired and interpreted by geologists and geophysicists. A potential area of interest for geothermal exploitation has been targeted. However, uncertainties in data and interpretations make it difficult to draw a precise sketch of the geological heterogeneities. Moreover, the impact of geological heterogeneities on heat transfer and repartition of geothermal resources is not trivial. We develop a methodology based on progressive complexification of the geological scenario to evaluate the level of detail needed to generate a predictive numerical model according to observed geothermal evidences (geothermal sources and well temperature profiles). The main idea is to fix physical simulation parameters while downscaling the geological model. This is a preliminary work to establish a proof of concept on a 2D cross-section going through the area of interest.

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BibTeX Reference

@INPROCEEDINGS{,
    author = { Raguenel, Margaux and Bonneau, Francois and Sausse, Judith and Caumon, Guillaume and Driesner, Thomas },
     title = { Assessing geological scenarios with the modeling of heat transfers and  uid  ows in the geothermal reservoir of Basse-Terre, Guadeloupe },
 booktitle = { 2018 Ring Meeting },
      year = { 2018 },
  abstract = { Understanding the physical processes occurring in a geothermal reservoir is a key
point to make decisions about resource exploitation developments. In the frame of
the GEOTREF project in Basse-Terre, Guadeloupe, data have been acquired and interpreted
by geologists and geophysicists. A potential area of interest for geothermal
exploitation has been targeted. However, uncertainties in data and interpretations
make it difficult to draw a precise sketch of the geological heterogeneities. Moreover,
the impact of geological heterogeneities on heat transfer and repartition of geothermal
resources is not trivial. We develop a methodology based on progressive complexification of the geological scenario to evaluate the level of detail needed to generate a
predictive numerical model according to observed geothermal evidences (geothermal
sources and well temperature profiles). The main idea is to fix physical simulation
parameters while downscaling the geological model. This is a preliminary work to
establish a proof of concept on a 2D cross-section going through the area of interest. }
}