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To date, the majority of geothermal projects in Germany have focused on deep geothermal systems, while resources at intermediate depths have been little explored. However, intermediate-depth geothermal systems have a high potential for heat generation, even in areas previously considered less favourable for geothermal use, and could make a significant contribution to Germany's heat supply. In order to accelerate the heat transition and to become independent of fossil fuels, the ArtemIS project aims to assess the medium-depth geothermal systems in Germany, covering all types of geological plays and providing regionalised information for different geothermal applications. To this end, profile texts will be developed containing all relevant subsurface information required for preliminary geothermal assessments, such as geological descriptions of potential geothermal reservoirs, reservoir thickness, hydraulic and thermal rock properties, and fluid chemistry. In addition, static 3D geological models are created as the basis for 2D and 3D numerical reservoir models to simulate the regional heat potential and different geothermal exploitation scenarios, including the performance of hydrothermal doublets. Machine learning algorithms will be applied to speed up the extraction and analysis of well data and to improve reservoir evaluation and economic forecasting, particularly in areas of low data density. The results will be integrated into the publicly available web platform "Geothermal Information System - GeotIS", which will provide general information, data and modelling results in a user-friendly way for non-professionals such as local communities and municipal energy suppliers. Here we present the current status and first results of the ArtemIS project.
Weydt et al. (Sat,) studied this question.