Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks

We present a research study aimed at testing of applicability of machine learning techniques for prediction of permeability of digitized rock samples. We prepare a training set containing 3D images of sandstone samples imaged with X-ray microtomography and corresponding permeability values simulated with Pore Network approach... (read more)

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