Dmitry Koroteev

发表

Reconstruction of 3D Porous Media From 2D Slices pdf

Evgeny Burnaev, Denis Volkhonskiy, Ekaterina A. Muravleva, 2019, ArXiv.

From disruptively digital to proudly analog: A holistic typology of digital transformation strategies

Dmitry Koroteev, Zeljko Tekic, Z. Tekic, 2019, Business Horizons.

Gradient boosting to boost the efficiency of hydraulic fracturing

Evgeny Burnaev, Dmitry Koroteev, Ivan Makhotin, 2019, Journal of Petroleum Exploration and Production Technology.

Application of machine learning to accidents detection at directional drilling

Dmitry Koroteev, Alexey Zaytsev, Nikita Klyuchnikov, 2019, Journal of Petroleum Science and Engineering.

Prediction of Porosity and Permeability Alteration Based on Machine Learning Algorithms

Denis Orlov, Dmitry Koroteev, Andrei Erofeev, 2019, Transport in Porous Media.

Data-Driven Model for the Drilling Accidents Prediction

Dmitry Koroteev, Alexey Zaytsev, Nikita Klyuchnikov, 2019, Day 1 Mon, September 30, 2019.

Deep Neural Networks Predicting Oil Movement in a Development Unit pdf

Evgeny Burnaev, Dmitry Koroteev, Ivan V. Oseledets, 2019, Journal of Petroleum Science and Engineering.

Data-driven model for the identification of the rock type at a drilling bit pdf

Fedor Krasnov, Evgeny Burnaev, Ekaterina A. Muravleva, 2018, Journal of Petroleum Science and Engineering.

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling

Evgeny Burnaev, Dmitry Koroteev, Alexey Zaytsev, 2019, IEEE Geoscience and Remote Sensing Letters.

Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation pdf

Evgeny Burnaev, Denis Orlov, Dmitry Koroteev, 2020, Petroleum.

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

Evgeny Burnaev, Oleg Sudakov, Dmitry Koroteev, 2018, Comput. Geosci..

Core photos lithological interpretation using neural networks

Dmitry Koroteev, L. S. Ismailova, D. M. Orlov, 2018 .

Reduced Order Reservoir Simulation with Neural-Network Based Hybrid Model

Dmitry Koroteev, A. S. Margarit, Alexey Akhmetov, 2019 .

Advanced analytics of self-colmatation in terrigenous oil reservoirs

Dmitry Koroteev, D. M. Orlov, 2019 .

Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation pdf

Evgeny Burnaev, Denis Orlov, Dmitry Koroteev, 2021, Petroleum.

Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future

Dmitry Koroteev, Zeljko Tekic, Z. Tekic, 2021 .

DeepField framework for reservoir simulation and machine learning

Dmitry Koroteev, Dmitry Voloskov, Egor Illarionov, 2021 .

An Intellectual System for Fast and Reliable Automated Core Description Development

Dmitry Koroteev, Ruslan Kostoev, A. E. Demidov, 2021, 82nd EAGE Annual Conference & Exhibition.

Robotized petrophysics: Machine learning and thermal profiling for automated mapping of lithotypes in unconventionals

Dmitry Koroteev, Yury Meshalkin, Evgeniy Popov, 2018, Journal of Petroleum Science and Engineering.

A novel approach for solving nonlinear flow equations: The next step towards an accurate assessment of shale gas resources

Dmitry Koroteev, Yashar Bezyan, Mohammad Sharifi, 2019, Fuel.

Modeling the velocity field during Haines jumps in porous media

Dmitry Koroteev, Ryan T. Armstrong, Steffen Berg, 2015 .

Application of Machine Learning Technologies for Rapid 3D Modelling of Inflow to the Well in the Development System

Ivan Oseledets, Dmitry Koroteev, Evgeny Burnaev, 2018 .

Core photo lithological interpretation based on computer analyses

Dmitry Koroteev, E. E. Baraboshkin, D. M. Orlov, 2018 .

Modeling of Pore-Scale Two-Phase Phenomena Using Density Functional Hydrodynamics

Oleg Yurievich Dinariev, Dmitry Koroteev, Ryan T. Armstrong, 2016, Transport in Porous Media.