Subsurface characterization parameterized in terms familiar to geoscientists

In this presentation we describe how machine learning methods can be parameterised in terms of physically meaningful properties such as facies property distributions and facies ordering probabilities.

This makes the machine learning method more accessible to geoscience proffesionals.