233 citations · 483 across the 14 of their papers we have counts for
3 papers · 1 filter
Application of machine learning to viscoplastic flow modeling
E. Muravleva, I. Oseledets, D. Koroteev
We present a method to construct reduced-order models for duct flows of Bingham media. Our method is based on proper orthogonal decomposition (POD) to find a low-dimensional approx…
Data-driven model for the identification of the rock type at a drilling bit
Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev +12
Directional oil well drilling requires high precision of the wellbore positioning inside the productive area. However, due to specifics of engineering design, sensors that explicit…
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…