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)

A Decision Support System for Multi-target Geosteering. - Sergey Alyaev; Erich Suter; Reidar Bratvold; Aojie Hong; Xiaodong Luo (CoRR, 2019)

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)

An interactive sequential-decision benchmark from geosteering. - Sergey Alyaev; Reidar Brumer Bratvold; Sofija Ivanova; Andrew Holsaeter; Morten Bendiksen (CoRR, 2020)

Deep Learning for Prediction of Complex Geology Ahead of Drilling. - Kristian Fossum; Sergey Alyaev; Jan Tveranger; Ahmed H. Elsheikh (ICCS (2), 2021)

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. - Felix James Pacis; Sergey Alyaev; Adrian Ambrus; Tomasz Wiktorski (ICCS (1), 2022)

Direct multi-modal inversion of geophysical logs using deep learning. - Sergey Alyaev; Ahmed H. Elsheikh (CoRR, 2022)

Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network. - Sergey Alyaev; Jan Tveranger; Kristian Fossum; Ahmed H. Elsheikh (CoRR, 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)

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)

Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach. - Ressi Bonti Muhammad; Sergey Alyaev; Reidar Brumer Bratvold (CoRR, 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., 2023)

High-Precision Geosteering via Reinforcement Learning and Particle Filters. - Ressi Bonti Muhammad; Apoorv Srivastava; Sergey Alyaev; Reidar Brumer Bratvold; Daniel M. Tartakovsky (CoRR, 2024)

Application of Machine Learning to Predict Blockage in Multiphase Flow. - Nazerke Saparbayeva; Boris V. Balakin; Pavel G. Struchalin; Talal Rahman; Sergey Alyaev (Comput., 2024)

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 (ICCS (Workshops 1), 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, 2025)