Mathieu Bellanger & Nathan_Lalloué attending the AI ​​for Geological Mapping and Modelling conference in Utrecht, organized by TNO

Artificial intelligence is rapidly changing how geoscientists map, model, and interpret the subsurface. For TLS Geothermics, staying close to these advancements is essential to our mission of improving geothermal exploration and reducing uncertainty in project development.

Members of the TLS team recently attended the AI for Geological Mapping and Modelling conference in Utrecht, organized by TNO. The two-day event brought together geoscience professionals, researchers, and technology specialists focused on the growing role of artificial intelligence in predictive geological mapping and AI-assisted 3D modeling.

For TLS, this field is directly connected to our daily technical work. Machine learning-enhanced mapping, probabilistic modeling, and integrated subsurface interpretation are central to how we identify and evaluate hidden geothermal systems. By following global best practices and engaging with the latest developments in AI-supported geoscience, we continue strengthening the tools and workflows that support our projects, clients, and partners.

As geothermal moves toward larger-scale deployment, better subsurface intelligence will be critical. Conferences like this help ensure that TLS remains connected to the evolving frontier of geological modeling, data science, and applied geothermal exploration.

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Geoscience, Artificial Intelligence, Geological Mapping, Subsurface Modeling, Geothermal Exploration, Innovation

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