2 papers
physics.geo-ph2019
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study
Oleg Sudakov, Dmitri Koroteev, Boris Belozerov +1
We develop a data-driven model, introducing recent advances in machine learning to reservoir simulation. We use a conventional reservoir modeling tool to generate training set and…
physics.geo-ph2018
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks
Oleg Sudakov, Evgeny Burnaev, Dmitry Koroteev
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 con…