New digital deep-time exploration tools for a low-emissions economy

随着可再生能源发电量的增加，对关键矿物的需求将飙升，但勘探公司目前无法充分利用地球演化背景下的现有勘探数据。该项目将使用创新的数据挖掘方法，在大型和复杂的地理数据分析方面产生新的知识。它将使Lithodat（一家小型企业）能够进行基于云的板块构造重建、可视化和地理数据时空分析，以进行资源勘探。其成果包括提高了生成矿石远景图的能力，并加深了对其构造、地球化学和地球物理特征的理解，使Lithodat及其客户在寻找新矿床方面受益。

Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.