SOURCE-LINKED INTELLIGENCE

Multidisciplinary Integration and Networking for INcreased sustainability and multi-resources valorization of Geothermal Brines

CORDIS · observation · Publication date unknown

for sustainable access to critical raw materials (CRM), energy gases (EG) and renewable energies. 19 Doctoral Candidates (DCs) will receive interdisciplinary training in geosciences, biogeochemistry, artificial intelligence (AI), and socio-economic analysis, equipping them with advanced skills in reservoir modeling, machine learning and biogeochemical processes. DCs will develop intuitive fluid chemistry modeling workflows and innovative multi-criteria intelligent decision support tools, preparing them to drive innovation in geothermal brine mining while collaborating with academic and industrial partners. MiningBrines introduces novel techniques to maximize geothermal multi-resource recovery while minimizing environmental impact. Key innovations include microbial-driven CRM recovery, customized modeling workflows, scalable AI models, and decision support tools that consider technological, economic, and societal aspects. These advances aim to reduce the environmental footprint of resource extraction and align with the sustainability goals of the EU Green Deal. MiningBrines supports t

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recordType

award

status

SIGNED

region

EU

value

4368520.8

unit

EUR