| Abstract |
The URGENT project aims to accelerate the decarbonization of Europe’s heating sector by leveraging geothermal energy as a key alternative to fossil fuels in urban areas. Despite its potential, geothermal energy development is hindered by limited knowledge of subsurface resources and risks in complex urban environments, where conventional exploration methods fall short. The URGENT project addresses this gap by providing sustainable and affordable solutions for urban seismic exploration of geothermal resources. Low-impact innovative technologies, consisting of an electric seismic source and novel MEMS based sensors integrated into autonomous nodes, have been designed and prototypes are to be tested on 3 sites: the VITO geothermal site (BE), Konin (PL), Batta (HU). They will enable high-quality data recording including low frequency signals resulting in high resolution imaging up to 4000m of depth. To optimize data acquisition and reduce exploration costs, advanced survey designs use techniques like compressive sensing and simultaneous shooting. For data analysis, AI and machine learning (ML) methods are being developed for automated fault and fracture detection. Additionally, ML techniques adapted from the oil and gas sector are combined with thermo-hydro-mechanical (THM) reservoir modeling to optimize well placement and design. This integrated approach aims to maximize heat extraction, reduce seismic risks, extend plant lifetimes, and enhance profitability. Beyond its technical innovations, URGENT supports the wider adoption of urban geothermal projects through tailored exploration workflows, market uptake strategies, and efforts to strengthen community acceptance. This presentation will highlight the main achievements from the project’s first two years. |