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<dc:title xml:lang="fr">Étude d'un réservoir géothermique profond par corrélation de bruit sismique ambiant</dc:title>
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<dc:subject xml:lang="fr">Corrélation de bruit ambiant</dc:subject>
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<dc:subject xml:lang="fr">Pic micro-sismique secondaire</dc:subject>
<dc:subject xml:lang="fr">Bruit sismologique anthropique</dc:subject>
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<dc:subject xml:lang="fr">Sismologie</dc:subject>
<dc:subject xml:lang="en">Ambient noise correlation</dc:subject>
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<dc:subject xml:lang="en">Secondary micro-seismic peak</dc:subject>
<dc:subject xml:lang="en">Anthopogenic noise</dc:subject>
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<dcterms:abstract xml:lang="fr">Cette thèse porte sur l’application de la technique de corrélation de bruit sismologique ambiant pour l'imagerie et le suivi des réservoirs géothermiques de Rittershoffen (ECOGI) et de Soultz-sous-Forêts (GEIE-EMC). La forte variabilité spatio-temporelle des sources du bruit de fond sismologique dans la gamme de période 0.2-7s limite la reconstruction des fonctions de Green. Cela induit des erreurs dans la construction des modèles de vitesse. Deux approches sont proposées pour s’affranchir des effets de la non-uniformité spatiale du bruit. Par ailleurs, la variabilité temporelle des sources de bruit est un facteur limitant pour le suivi du réservoir. On estime que les perturbations de vitesse doivent être de l’ordre de 0.1% à 1% pour pouvoir être détectées par les réseaux disponibles. Ce seuil n’a pas été franchi lors de la construction du site Rittershoffen mais une modification probable des propriétés diffractantes du milieu a été observée à la suite d’une stimulation.</dcterms:abstract>
<dcterms:abstract xml:lang="en">This work focuses on the application of the ambient seismic noise correlation technique for the imaging and monitoring of deep geothermal reservoirs near Rittershoffen (ECOGI) and Soultz-sous-Forêts (GEIE-EMC). The strong spatial and temporal variability of the noise sources in the period range 0.2-7s limits the reconstruction of the Green’s functions. This results in significant errors in the velocity models. Two approaches are proposed to overcome the spatial non-uniformity of the noise and to improve the quality of the velocity models. Besides that, the temporal variability of the noise sources is a limiting factor for monitoring purposes. We estimate that the speed variations should be larger than 0.1% to 1% to be detected by the available networks. This threshold was not reached at Rittershoffen during the drillings or the stimulations. However, a probable change of the diffracting properties of the medium was observed following a hydraulic stimulation.</dcterms:abstract>
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