The key research areas of Randlab are:

  • Innovative geostatistics such as Multiple point statistics and hybrid models to ensure geological realism and adequate representation of complexity in models
  • Numerically efficient algorithms (HPC, GPU) dedicated to personal computers and high performance clusters
  • Highly heterogeneous or complex geological environments such as Karst and alluvial deposits (Braided, Meandering, or Delta Systems)
  • Uncertainty analysis in flow and transport problems
  • Stochastic inverse problem with geological constraints


  • Help companies assess uncertainty
  • Focus on methods for data and geological concepts integration
  • Explore innovative technologies
  • Develop efficient numerical tools
  • Educate a new generation of young professionals

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