The Dogger carbonate formation of Paris Basin is the preferential target for geothermal exploitation in France since the late 1960’s. The reservoir consists of a hot water aquifer of regional extent composed of oolithic and bioclastic limestones of Mid-Jurassic age. The depths and temperatures are ranging from 1450 to 2000 m. and 56 to 80°C respectively. Based on flowmeter logs and seismic surveys the pervious units are conceptualized as layers forming lenses of large extent, much greater than the mean inter-well distance, 1000 m., a few meters thick and interbedded by aquitards. The number of pervious layers is typically between 5 and 10 and a layer may not present lateral continuity between the two wells of a doublet. The geothermal performance of a doublet is measured by two indicators: the cold-water breakthrough time and the temperature reached in the producer well after thirty years. These indicators are assessed for each doublet by geomodeling and flow and thermal numerical simulation. Another modeling tool of interest for the layered geology of Paris Basin is the model proposed by Gringarten and Sauty in 1975. Their model gives the time evolution of the temperature in a producer well for a single pervious infinite layer embedded into an impervious host rock. This model is very valuable as it links analytically the thermal response of a doublet to the physical parameters of the system. Nevertheless, it cannot be extended to the multilayered case and is of little help to tackle the connectivity issue raised when layers are of finite extent. In this paper we address these two heterogeneity issues by means of geostatistical simulations and upscaling approaches. We propose to keep the Gringarten and Sauty modeling framework and to account for both vertical and lateral heterogeneities by using equivalent parameters

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