The Lithofluids module utilises a Bayesian supervised classification scheme to make quantitative predictions based upon inverted seismic data and depth-dependent, statistical rock physics models.

  • Low-frequency model calibration
  • Lithology/fluid calibration at well locations
  • Bayesian prediction engine
  • Structural geological prior models
  • Lithology/fluid prediction from ?inverted seismic data

 The process can be calibrated at well locations, then used to generate individual probability volumes for all candidate lithology and fluid combinations.

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