Presentations
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
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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
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[CRIStin database]
Last updated: 2022-05-02 13:39:44 UTC