Latest results Theses Articles Conference papers Demos and Software Presentations In media

Articles

Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment

Cheraghi, Alyaev, Bratvold, Hong, Kuvaev et al.
Applied Computing and Geosciences 2025

High-precision geosteering via reinforcement learning and particle filters

Muhammad, Srivastava, Alyaev, Bratvold, and Tartakovsky
Computational Geosciences 2025

Decentralized Active Control of Distributed Damping Subs for Stick/Slip Reduction in Drilling

Nüsse, Ambrus, and Aamo
SPE Journal 2025

Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

Ambrus, Pacis, Alyaev, Khosravanian, and Kristiansen
Energies 2025

Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications

Zhang, Pacis, Alyaev, and Wiktorski
First Break 2025

Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts

Muhammad, Cheraghi, Alyaev, Srivastava, and Bratvold
SPE Journal 2025

Automatic calibration of systematic biases in directional drilling control for planar and non-planar curves

Saavedra Jerez, Cayeux, and Sui
Geoenergy Science and Engineering 2025

Geophysics Bright Spots

Behura
The Leading Edge 2025

Zero-Shot Learning With Large Language Models Enhances Drilling-Information Retrieval

Society of Petroleum Engineers
Journal of Petroleum Technology [CRIStin database] 2025

Entrance Lengths for Fully Developed Laminar Flow in Eccentric Annulus

Resell, Giljarhus, and Skadsem
Journal of Fluids Engineering - Trancactions of The ASME 2024

Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data

Rammay, Alyaev, Larsen, Bratvold, and Saint
Geophysics 2024

Overview of how the Calculation of Dynamic Temperature of Drilling Fluids is Closely Linked with Rheology

Bjørkevoll
Annual Transactions - The Nordic Rheology Society 2024

Assisting Directional Drilling by Calculating a Safe Operating Envelope

Saavedra Jerez, Cayeux, and Sui
SPE Journal 2024

3-D induction log modelling with integral equation method and domain decomposition pre-conditioning

Saputera, Jakobsen, van Dongen, Jahani, Eikrem et al.
Geophysical Journal International 2023

Limits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling

Jahani, Torres-Verdin, and Hou
Geophysical Prospecting 2023

Evaluation of distributed damping subs with active control for stick–slip reduction in drilling

Nüsse, Ambrus, Aarsnes, and Aamo
Geoenergy Science and Engineering 2023

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

Pacis, Ambrus, Alyaev, Khosravanian, Kristiansen et al.
Journal of Computational Science 2023

Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow

Jahani, Alyaev, Ambia, Fossum, Suter et al.
Petrophysics 2023

Boundary Control and Estimation for Under-Balanced Drilling with Uncertain Reservoir Parameters

Strecker, and Aarsnes
IEEE Transactions on Control Systems Technology 2023

Clock Synchronization and Timestamping of Data on Acquisition at the Wellsite: Guidelines and Recommendations

Annaiyappa, Macpherson, and Cayeux
SPE Drilling & Completion 2023

Self-Attenuation of Drillstring Torsional Vibrations Using Distributed Dampers

Cayeux, and Ambrus
SPE Journal 2023

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

Fossum, Alyaev, Tveranger, and Elsheikh
Journal of Computational Science 2022

Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

Alyaev, and Elsheikh
Earth and Space Science 2022

Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements

Rammay, Alyaev, and Elsheikh
Geophysical Journal International 2022

Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids

Cayeux
SPE Journal 2022

Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality

Cayeux, Damski, Macpherson, Laing, Annaiyappa et al.
SPE Drilling & Completion 2022

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

Pacis, Alyaev, Ambrus, and Wiktorski
Lecture Notes in Computer Science (LNCS) 2022

Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering

Jahani, Ambia Garrido, Alyaev, Fossum, Suter et al.
Geophysics 2022

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

Alyaev, Tveranger, Fossum, and Elsheikh
First Break 2021

A phenomenological transient model of bit foundering

Aarsnes, Ambrus, Meglio, and Gerbaud
Journal of Petroleum Science and Engineering 2020

Total: 33

Articles

Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment

High-precision geosteering via reinforcement learning and particle filters

Decentralized Active Control of Distributed Damping Subs for Stick/Slip Reduction in Drilling

Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications

Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts

Automatic calibration of systematic biases in directional drilling control for planar and non-planar curves

Geophysics Bright Spots

Zero-Shot Learning With Large Language Models Enhances Drilling-Information Retrieval

Entrance Lengths for Fully Developed Laminar Flow in Eccentric Annulus

Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data

Approach Uses Multidisciplinary Constraints for Automatic Well-Path Generation

Using the Quemada rheology model for drilling fluids - practical considerations

A General Framework to Describe Drilling Process States

Overview of how the Calculation of Dynamic Temperature of Drilling Fluids is Closely Linked with Rheology

Assisting Directional Drilling by Calculating a Safe Operating Envelope

3-D induction log modelling with integral equation method and domain decomposition pre-conditioning

Limits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling

Evaluation of distributed damping subs with active control for stick–slip reduction in drilling

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

Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow

Boundary Control and Estimation for Under-Balanced Drilling with Uncertain Reservoir Parameters

Clock Synchronization and Timestamping of Data on Acquisition at the Wellsite: Guidelines and Recommendations

Self-Attenuation of Drillstring Torsional Vibrations Using Distributed Dampers

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

Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements

Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids

Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering

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

A phenomenological transient model of bit foundering