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Sergey Alyaev

Sergey Alyaev

Senior Researcher

+47 51 87 56 10
Nygårdsgaten 112, 5008 Bergen, Norway

I am a senior researcher in applied mathematics with interests including forward and inverse modeling, data-driven methods, and decision theory. The main focuses of my research are the real-time applications of these methods and integrated workflows in the field of drilling and geosteering.

I hold MSc and PhD degrees in applied mathematics from the University of Bergen. I have been working as a researcher at IRIS and later NORCE since 2013.

In 2018 I took responsibility for leading the project “Geosteering for IOR” where the team is developing advanced quantitative and statistical methods and applying them for real-time decision making. The activity in the geosteering consortium formed around the project has involved 13 companies and research organizations by the end of 2019.

To communicate the complex numerical methods to a wider audience, I prefer simple interactive prototypes. I have been leading the development of interactive demonstrations in the Drilling Data Hub pre-project in 2017, and a geosteering competition platform in 2019 (https://geosteering.no/game).

Sergey Alyaev


Energy & Technology

Research themes

Digital drilling
Drilling- and well-technology
Machine learning

More information about Sergey Alyaev

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Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow – Petrophysics 2023
Verification of a real-time ensemble-based method for updating earth model based on GAN – Journal of Computational Science 2022
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks – 2022
Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning – Earth and Space Science 2022
What can we learn after 10,000 geosteering decisions? – 2022
Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method – 2022
Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error – 2022
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling – Lecture Notes in Computer Science (LNCS) 2022
Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements – Geophysical Journal International 2022
Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering – Geophysics 2022
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network (conference extended abstract) – 2021
Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field – 2021
An interactive sequential-decision benchmark from geosteering – Applied Computing and Geosciences 2021
Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy – 2021
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network – First Break 2021
Deep learning for prediction of complex geology ahead of drilling – Lecture Notes in Computer Science (LNCS) 2021
Real-Time Ensemble-Based Well-Log Interpretation for Geosteering – 2021
Modeling extra-deep electromagnetic logs using a deep neural network – Geophysics 2021
A numerical study of flow field and particle deposition in nasal channels with deviant geometry – Engineering Applications of Computational Fluid Mechanics 2021
Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints – 2021
Systematic decisions under uncertainty : An experiment towards better geosteering operations – 2021
Solar steam generation in fine dispersions of graphite particles – Renewable Energy 2020
Inversion of electromagnetic data while drilling using a distorted Born iterative method for anisotropic conductive media – SEG technical program expanded abstracts 2019
Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications – 2019
A decision support system for multi-target geosteering – Journal of Petroleum Science and Engineering 2019
Automatic detection of anomalous drilling operations using machine learning methods and drilling process simulations – Oil, Gas 2019
Ensemble-based decision-support workflow for operational geosteering – 2018
Are you myopic, naïve or farsighted about your geosteering decisions? – 2018
A Methodology for Effective Earth Model Management while Geosteering – 2018
A heterogeneous multiscale MPFA method for single-phase flows in porous media with inertial effects – Computational Geosciences 2018
An Interactive Decision Support System for Geosteering Operations – 2018
Fractal structures in freezing brine – Journal of Fluid Mechanics 2017
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