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The latest results from DigiWells presented to the scientific community:
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
Applied Transfer Learning in Drilling Engineering
Pacis, Wiktorski, and Alyaev
Universitetet i Stavanger [CRIStin database]
High-precision geosteering via reinforcement learning and particle filters
Muhammad, Srivastava, Alyaev, Bratvold, and Tartakovsky
Computational Geosciences
Decentralized Active Control of Distributed Damping Subs for Stick/Slip Reduction in Drilling
Nüsse, Ambrus, and Aamo
SPE Journal
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
A Probabilistic Framework for the Risk-Based Evaluation of Drilling Plans
Daireaux, Ambrus, Moi, and Cayeux
Society of Petroleum Engineers
Automatic Online Classification of Drilling Activities
Cayeux, Macpherson, Brackel, Igland, and Schaefer
Society of Petroleum Engineers