Petrophysics
ML-based Curve Repair
When Danomics set out to incorporate machine-learning into our petrophysical workflow we had the following objectives: Increase the data available for use in petrophysical calculations Eliminate the need for users to tune correlation parameters on a zone-by-zone basis for things empirically-based correlations like the Gardener-relation Improve the quality of interpretations Read more…