Presentations

Drilling Process Modelling with Deep Learning: Towards ROP Prediction

​​Alyaev, Ambrus, Pacis, Jahani, Wiktorski et al. [2021]
[CRIStin database]

Geosteering for IOR: Results and further opportunities

​​Alyaev [2021]
[CRIStin database]

Deep learning for probabilistic inversion during geosteering

​​Alyaev, Elsheikh, Ambrus, and Jahani [2021]
[CRIStin database]

Sequential probabilistic multi-modal inversion and prediction with deep learning

​​Alyaev, Ambrus, Jahani, and Elsheikh [2021]
[CRIStin database]

Finite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster

​​Jahani, and Torres-Verdin [2021]
[CRIStin database]

Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

​​Fossum, Alyaev, Suter, Tossi, and Mele [2021]
[CRIStin database]

Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling

​​Alyaev, Fossum, Tveranger, and Elsheikh [2021]
[CRIStin database]

Drilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)

​​Ambrus, Alyaev, and Ewald [2021]
[CRIStin database]

Distributed Drilling Control: initial demonstration

​​Mihai, Cayeux, Holsaeter, Ambrus, and Moi [2021]
[CRIStin database]

Organizational Interoperability: initial demonstration of a multi layered graph analysis architecture

​​Suter, Daireaux, and Mihai [2021]
[CRIStin database]

Automated Drilling Engineering: initial demonstration focused on directional drilling

​​Cayeux, Dvergsnes, Carlsen, and Mihai [2021]
[CRIStin database]

Deep learning for prediction of complex geology ahead of drilling

​​Fossum, Alyaev, Tveranger, and Elsheikh [2021]
[CRIStin database]

Drilling Data Quality & Uncertainty

​​Cayeux [2021]
[CRIStin database]

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

​​Cayeux [2021]
[CRIStin database]

Last updated: 2021-12-04 06:48:13 UTC