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.
