EGU25-10000, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10000
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Monday, 28 Apr, 14:15–14:25 (CEST)
 
Room -2.33
Integrating Mineral System Modelling and Mineral Prospectivity Mapping with Open-Source Tools: Insights from the EIS Horizon Europe Project
Vesa Nykänen1, Hafsa Munia2, Tobias Bauer3, Andreas Knobloch4, Guillaume Bertrand5, Juha Kaija6, and Joy Cremesty7
Vesa Nykänen et al.
  • 1Geological Survey of Finland, Information Solutions, Rovaniemi, Finland (vesa.nykanen@gtk.fi)
  • 2Geological Survey of Finland, Information Solutions, Espoo, Finland (hafsa.munia@gtk.fi)
  • 3Luleå University of Technology, Division of Geosciences and Environmental Engineering, Luleå, Sweden (tobias.bauer@ltu.se)
  • 4Beak Consultants GmbH, Germany (andreas.knobloch@beak.de)
  • 5BRGM – Geological Survey of France, Geology of Mineral Resources Unit, Georesources Division, Orléans, France (g.bertrand@brgm.fr)
  • 6Geological Survey of Finland, Energy and Construction Solutions, Espoo, Finland (juha.kaija@gtk.fi)
  • 7LGI Sustainable Innovation, Paris, France (joy.cremesty@lgi-consulting.com)

The Exploration Information System (EIS) is an initiative focused on advancing mineral systems modelling and mineral prospectivity mapping through open-source tools. This 36-month project is a collaboration among 17 partners across six EU member states and beyond, integrating expertise from academia, research institutes, industry, and service providers. The EIS project is funded by the European Union’s Horizon 2020 Europe research and innovation program under grant agreement no. 1010557357.

EIS addresses the EU’s need for critical raw materials (CRMs) by developing innovative data analysis and modelling tools. Central to the project are the "EIS Toolkit" and "EIS QGIS Wizard," open-source platforms designed to enhance exploration efficiency, reduce environmental footprints, and strengthen sustainable resource management. These tools leverage advanced methodologies, including machine learning and artificial intelligence, to refine prospectivity analysis and predictive mapping across diverse mineral systems, such as VMS (Volcanogenic Massive Sulphide), granite-related lithium-tin-tantalum-tungsten, and IOCG (Iron Oxide Copper-Gold).

This presentation will showcase the EIS project’s objectives, methodologies, and key achievements, such as the development of the mineral systems library, software tools and selected case studies. Furthermore, it will discuss the project’s contributions to the EU’s Critical Raw Materials Act goals, emphasizing cross-sector collaboration and open-access innovation. By aligning research, industry, and societal goals, EIS demonstrates how EU-funded projects can foster sustainability, economic resilience, and resource efficiency in the raw materials sector.

How to cite: Nykänen, V., Munia, H., Bauer, T., Knobloch, A., Bertrand, G., Kaija, J., and Cremesty, J.: Integrating Mineral System Modelling and Mineral Prospectivity Mapping with Open-Source Tools: Insights from the EIS Horizon Europe Project, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10000, https://doi.org/10.5194/egusphere-egu25-10000, 2025.