In a joint paper together with Prof. Dr. Michael Drews from the Assistant Professorship of Geothermal Technologies, a simplified portfolio approach with spatially varying subsurface parameters and a cost model was integrated into a Monte Carlo simulation framework. Using the example of the southern German Molasse Basin, the impact of different evaluation approaches on exploration risks, energy yield, and total costs was investigated. The results show: The targeted selection of suitable evaluation criteria is crucial in order to minimize exploration risks. The study advocates a comprehensive top-down planning approach that takes geological and economic framework conditions into account in a standardized manner at the play level - as the key to the effective use of hydrogeothermal energy for the heat transition.
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