Sergey Alyaev

According to our database, Sergey Alyaev authored at least 16 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning.

Sergey Alyaev, Kristian Fossum, Hibat Errahmen Djecta, Jan Tveranger, Ahmed H. Elsheikh

CoRR, March, 2025

Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach Meets Particle Filters.

Hibat Errahmen Djecta, Sergey Alyaev, Kristian Fossum, Reidar B. Bratvold, Ressi Bonti Muhammad, Apoorv Srivastava

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

2024

Application of Machine Learning to Predict Blockage in Multiphase Flow.

Nazerke Saparbayeva, Boris V. Balakin, Pavel G. Struchalin, Talal Rahman, Sergey Alyaev

Comput., April, 2024

High-Precision Geosteering via Reinforcement Learning and Particle Filters.

Ressi Bonti Muhammad, Apoorv Srivastava, Sergey Alyaev, Reidar Brumer Bratvold, Daniel M. Tartakovsky

CoRR, 2024

2023

Improving predictive models for rate of penetration in real drilling operations through transfer learning.

Felix James Pacis, Adrian Ambrus, Sergey Alyaev, Rasool Khosravanian, Tron Golder Kristiansen, Tomasz Wiktorski

J. Comput. Sci., September, 2023

Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach.

Ressi Bonti Muhammad, Sergey Alyaev, Reidar Brumer Bratvold

CoRR, 2023

3D induction log modelling with integral equation method and domain decomposition preconditioning.

Durra Handri Saputera, Morten Jakobsen, Koen W. A. van Dongen, Nazanin Jahani, Kjersti Solberg Eikrem, Sergey Alyaev

CoRR, 2023

2022

Verification of a real-time ensemble-based method for updating earth model based on GAN.

Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh

J. Comput. Sci., 2022

Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network.

Sergey Alyaev, Jan Tveranger, Kristian Fossum, Ahmed H. Elsheikh

CoRR, 2022

Direct multi-modal inversion of geophysical logs using deep learning.

Sergey Alyaev, Ahmed H. Elsheikh

CoRR, 2022

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling.

Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Deep Learning for Prediction of Complex Geology Ahead of Drilling.

Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed H. Elsheikh

Proceedings of the Computational Science - ICCS 2021, 2021

2020

An interactive sequential-decision benchmark from geosteering.

Sergey Alyaev, Reidar Brumer Bratvold, Sofija Ivanova, Andrew Holsaeter, Morten Bendiksen

CoRR, 2020

Modeling extra-deep EM logs using a deep neural network.

Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter

CoRR, 2020

2019

A Decision Support System for Multi-target Geosteering.

Sergey Alyaev, Erich Suter, Reidar Bratvold, Aojie Hong, Xiaodong Luo

CoRR, 2019

2014

Analysis of Control Volume Heterogeneous Multiscale Methods for Single Phase Flow in Porous Media.

Sergey Alyaev, Eirik Keilegavlen, Jan Martin Nordbotten

Multiscale Model. Simul., 2014