Maksim Simonov

Methodology of surrogate models (metamodels) and their prospects for solving petroleum engineering challenges

Rf Saint-Petersburg Gazpromneft Ntc Llc, A. N. Sitnikov, A. A. Pustovskikh, 2019 .

Adaptive Tool for Solving Applied Problems of Oil Engineering

Maksim Simonov, D. S. Perets, V. S. Kotezhekov, 2018 .

A Novel Approach to Refinment Reservoir Proxy Model Using Machine-Learning Techniques

Maksim Simonov, Oleg Zotkin, Alena Osokina, 2019 .

Application of data mining for handling applied problems of petroleum engineering

Rf Saint-Petersburg Gazpromneft Ntc Llc, Maksim Simonov, D. S. Perets, 2018 .

Cognitive Analytical System Based on Data-Driven Approach for Mature Reservoir Management (Russian)

Maksim Simonov, Konstantin Gopa, Sergey Yamov, 2018 .

Application of Machine Learning Methods for Modeling the Current Indicators of Operating Wells Stock of PJSC Gazprom Neft

Maksim Simonov, Nikolay Teplyakov, V. S. Kotezhekov, 2018, Day 1 Mon, October 15, 2018.

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 .