Koroteev, Dmitry

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

Koroteev, D., & Tekic, Z. (2021) · Energy and AI

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 285

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

Tekic, Z., & Koroteev, D. (2019) · Business Horizons

Digital Innovation in IndustriesCorporate Management and Leadership

Cited by 275

Deep neural networks predicting oil movement in a development unit

Temirchev, P., Simonov, M., Kostoev, R., Burnaev, E., Oseledets, I., Akhmetov, A., Margarit, A., Sitnikov, A., & Koroteev, D. (2020) · Journal of Petroleum Science and Engineering

Reservoir Engineering and Simulation MethodsModel Reduction and Neural Networks

Cited by 75

Gradient boosting to boost the efficiency of hydraulic fracturing

Makhotin, I., Koroteev, D., & Burnaev, E. (2019) · Journal of Petroleum Exploration and Production Technology

Hydraulic Fracturing and Reservoir AnalysisReservoir Engineering and Simulation Methods

Cited by 40

Advanced analytics of self-colmatation in terrigenous oil reservoirs

Orlov, D., & Koroteev, D. (2019) · Journal of Petroleum Science and Engineering

Drilling and Well EngineeringEnhanced Oil Recovery Techniques

Cited by 8

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

Simonov, M., Akhmetov, A., Temirchev, P., Koroteev, D., Kostoev, R., Burnaev, E., & Oseledets, I. (2018) · SPE Russian Petroleum Technology Conference

Reservoir Engineering and Simulation MethodsEnhanced Oil Recovery Techniques

Cited by 5