Presentations
Exploring transfer learning for ROP prediction on the NCS
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Geosteering results: It's time to understand where the bit is heading
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AI‐based multi‐modal prediction of stratigraphy to inform drilling performance
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Predicting likely stratigraphy realizations from shallow logs with AI
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Limits of detectability and resolution of deep-sensing borehole electromagnetic measurements from numerical modeling
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GPU-accelerated integral equation method for 3D modelling of induction logs
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AI-based multi-modal interpretation of logs for ahead-of-bit probabilistic ROP prediction
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Gamification of shallow geosteering
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What can we learn after 10000 geosteering decisions?
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Real-time estimation of geological layers' profiles in an anisotropic environment while accounting for model-error: A case study on the Goliat field
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Verification of a real-time method for updating the geosteering earth model based on GAN
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Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method
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Transfer Learning Approach to Prediction of Rate of Penetration in Drilling
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On Transitions Functions Model for Decision-Making in Offshore Operations
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Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling
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Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks
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Distributed Drilling Control: summary 2021
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Presentation of lab experimental setup developed in Distributed Drilling Control in 2021
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An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying
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A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
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Reinforcement learning for better geosteering decisions
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HPC and finite‐difference modelling of deep EM logs
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Drilling Process Modelling with Deep Learning: Towards ROP Prediction
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Geosteering for IOR: Results and further opportunities
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Deep learning for probabilistic inversion during geosteering
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Sequential probabilistic multi-modal inversion and prediction with deep learning
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Finite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster
[CRIStin database]
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Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field
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Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling
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Deep learning for prediction of complex geology ahead of drilling
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Drilling Data Quality & Uncertainty
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Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids
[CRIStin database]
[CRIStin database]
Last updated: 2022-12-08 08:05:00 UTC