Data mining and machine learning for porosity, saturation, and shear velocity prediction: recent experience and results

The authors explore the potential of mining an extensive petrophysics and rock physics well database in the Norwegian Sea through advanced machine learning algorithms for estimation of reservoir elastic properties, and what it could mean for the optimization of petrophysical and rock physics workflows.