Research

The exploration of critical mineral resources, essential for clean energy technologies, has become increasingly challenging due to the depletion of outcropping deposits and the limitations of traditional empirical approaches. My research aims to address this problem by developing a quantitative mineral system modeling approach using Multi-Observable Probabilistic Thermochemical Tomography (MTT). MTT integrates geophysics, geodynamics, thermodynamics, and geochemistry to produce consistent thermochemical models of the Earth’s lithosphere. By incorporating Full Waveform Inversion (FWI) of seismic data into MTT, my project seeks to enhance the resolution and accuracy of imaging the thermal and compositional structure of the lithosphere. This provides critical proxies that enable the application of the mineral systems approach in exploration. This innovative approach will offer better insights into mineral targeting, ultimately aiding in the efficient exploration of critical mineral resources in remote and underexplored areas. The impact of my research will be significant in advancing sustainable mineral exploration practices and supporting the transition to clean energy technologies. 


Host

University of Twente

Expected Results

A conceptual and numerical data-fusion platform to detect relevant compositional anomalies in the crust and lithospheric mantle at scales relevant to greenfields/brownfields exploration frameworks. Application and validation of the methodology in selected regions of interest.