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Uncertainty reduction in monitoring methods for improved CO2 Quantity estimation

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  • Set up Python work bench for monitoring tools (FWI/CSEM)
  • Develop uncertainty quantification method
  • Quantify CO2 saturation with uncertainty and reduce uncertainty using additional prior information


  • First applications of uncertainty quantification for CO2 monitoring (both for CSEM and FWI)
  • On-going work on constraining the inversion for reduced uncertainty

Partners: NTNU, SINTEF Digital, BGS, Gassco, Shell, Statoil, Total, Engie

Key Factors

Project duration

2014 - 2017

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