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Active HORIZON European Commission

Deep exploration BoostEd by Advanced exploration Technologies

€4.89M EUR

Funder European Commission
Recipient Organization Helmholtz-Zentrum Dresden-Rossendorf Ev
Country Germany
Start Date Oct 01, 2024
End Date Sep 30, 2027
Duration 1,094 days
Number of Grantees 11
Roles Associated Partner; Participant; Coordinator
Data Source European Commission
Grant ID 101177617
Grant Description

The project consortium of DeepBEAT aims to develop ground-breaking technologies to use geochemistry for the detection of deep-seated land deposits.

Transforming Europe's exploration sector by integrating cutting-edge technologies and sustainable practices will push Europe towards a climate-neutral and socially responsible economy.

The exploration of deep land deposits should employ environmentally friendly, socially acceptable, and ultra-low impact methodologies to ensure the citizens that exploration activities can be conducted responsibly.

Acceptance to exploration and mining will be a cornerstone towards cultivating a more resilient and inclusive European society.DeepBEAT final outcome will be a workflow which addresses these aspects by two means: I) DeepBEAT plans to engage with the local communities at the test sites to learn about concerns, hesitancy and what is the emotional core of these.

Experiences from these events will be included in exploration workflow as an integral part, following the principles of free, prior, informed consent, which requires to interact with communities at a very early stage.

II) DeepBEAT proposes ten novel technological developments, all designed to minimize impact on environment and maximise sustainability.

These research and innovation developements have the potential to push the limits of surface geochemical exploration to an other level.

They comprise a) new insights to ultra-high resolution analytical chemistry, b) increasing sampling strategy efficiency, c) introducing ground-breaking new concepts of dealing with elemental measurement data, d) reducing exploration costs by sample selection, e) testing novel phyto-geochemical media, and f) introducing UAV assisted biogeochemical sampling.

Detailed understanding of the deposits complement the workflow to allow the understanding of the mineralizations as part of mineral systems and AI-assisted 3D mineral prospectivity modelling.

All Grantees

Sciaps, Inc; Geologian Tutkimuskeskus; Universite de Lorraine; Laser Consult Muszaki-Tudomanyos Es Gazdasagi Tanacsado Korlatolt Felelossegu Tarsasag; Zinnwald Lithium Gmbh; Finncobalt Oy; Ceska Geologicka Sluzba; Beak Consultants Gmbh; Queen's University At Kingston; Ima Engineering Ltd Oy; Helmholtz-Zentrum Dresden-Rossendorf Ev

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