Felix James Cardano Pacis
Stipendiat i online/offline dyplæringsmodeller
Institutt for data- og elektroteknologi
Stipendiat i online/offline dyplæringsmodeller
Pacis, Felix James Cardano; Alyaev, Sergey; Ambrus, Adrian; Wiktorski, Tomasz
(2022)
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling.Lecture Notes in Computer Science (LNCS).
ISSN 0302-9743.
Volum 13351.
s.358-371.
Ambrus, Adrian; Alyaev, Sergey; Jahani, Nazanin; Pacis, Felix James Cardano; Wiktorski, Tomasz
(2022)
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks. I: Proceedings of ASME 2022 41st International Conference on Ocean, Offshore & Arctic Engineering Volume 10 : Petroleum technology.The American Society of Mechanical Engineers (ASME).
ISBN 978-0-7918-8595-6.
Pacis, Felix James Cardano; Alyaev, Sergey; Ambrus, Adrian; Wiktorski, Tomasz
(2022)
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022;
2022-06-21 - 2022-06-23.
Pacis, Felix James Cardano; Wiktorski, Tomasz; Alyaev, Sergey; Ambrus, Adrian; Khosravanian, Rasool; Kristiansen, Tron Golder
(2022)
Exploring transfer learning for ROP prediction on the NCS.
Annual seminar SFI DigiWells;
2022-12-01 - 2022-12-02.
Ambrus, Adrian; Alyaev, Sergey; Jahani, Nazanin; Pacis, Felix James Cardano; Wiktorski, Tomasz
(2022)
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks.
ASME 41st International Conference on Ocean, Offshore and Arctic Engineering;
2022-06-05 - 2022-06-10.
Alyaev, Sergey; Ambrus, Adrian; Pacis, Felix James Cardano; Jahani, Nazanin; Wiktorski, Tomasz; Elsheikh, Ahmed
(2021)
Drilling Process Modelling with Deep Learning: Towards ROP Prediction.
DigiWells seminar;
2021-11-23 - 2021-11-24.