The transition toward renewable and sustainable energy systems requires efficient, cost-effective, and digitally integrated approaches to geothermal energy exploration, development, and monitoring. As Europe and the world accelerate the energy transition, digital technologies are becoming central to unlocking geothermal’s potential as a reliable and local energy source.
This session invites contributions on the role of data, databases, and data science in geothermal energy across the full lifecycle—from site characterization and exploration, to reservoir engineering, monitoring, and operational optimization. We welcome technical and interdisciplinary perspectives on how structured data, machine learning, artificial intelligence, statistical models, and GIS-based systems are transforming the geothermal field. Submissions on open-access data platforms, standardization initiatives, FAIR data principles, semantic web technologies, and cross-border data harmonization are particularly encouraged. Building on earlier efforts (e.g., GeoERA, DESTRESS, HeatStore, Geothermal-DHC), recent and ongoing projects such as GSEU, MALEG, GeoMAP are advancing geothermal data infrastructures and fostering international collaboration. National initiatives like WärmeGut further demonstrate the importance of coordinated efforts at both European and national scales.
Key topics include:
• Development and use of geothermal databases (e.g., GeotIS, EGDI, PanGeo)
• Data quality, uncertainty quantification, and metadata standards
• Integration of multi-source datasets (geophysical, geological, thermal, chemical, operational)
• AI/ML applications in targeting, reservoir modelling, or failure prediction
• Digital workflows: remote sensing, big data, and automation Digital twins, real-time monitoring, and operational optimization
We welcome contributions from research institutions, industry practitioners, data infrastructure providers, and policymakers. The session aims to foster collaboration between geoscientists, data scientists, and system developers, and to support the broader digital transformation of the geothermal sector.
Data Science and Digital Innovation in Geothermal Energy: From Exploration to Operation