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High-performance geoscientific computing in multi-scale mineral potential studies

High-performance geoscientific computing in multi-scale mineral potential studies

Financiers:

  • Academy of Finland
  • A central task in mine site evaluation and mineral potential 3D studies is to collect multi-scale data and then use inverse methods to infer the location and extent of commercially interesting mineral deposits. Such data is for example geophysical data measured from the air, at ground surface and along drill holes, geological cross sections and maps, drill core logs and geochemical data. In this project we aim to collect all measured and inferred data in mineral exploration to a unified model using the concept of Common Earth Model (CEM) by utilizing high performance computing in geomodelling of heterogeneous areas where limitations of computing power have previously prevented detailed CEM grids and the use of all available information simultaneously.

    Kontakta oss

    Jan Westerholm

    Professor 

    datateknik, företrädesvis högeffektiva datorberäkningar med tekniska tillämpningar

    Informationsteknologi

    Fakulteten för naturvetenskaper och teknik
    Till projektets webbsida