Felix James Cardano Pacis
Stipendiat i online/offline dyplæringsmodeller
Det teknisk-naturvitenskapelige fakultet
Institutt for data- og elektroteknologi
Institutt for data- og elektroteknologi
Publikasjoner
- Vitenskapelige publikasjoner
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Pacis, Felix James Cardano; Ambrus, Adrian; Alyaev, Sergey; Khosravanian, Rasool; Kristiansen, Tron Golder; Wiktorski, Tomasz
(2023)
Improving predictive models for rate of penetration in real drilling operations through transfer learning.Journal of Computational Science.
ISSN 1877-7503.
Volum 72.
Hefte 102100.
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Pacis, Felix James Cardano; Wiktorski, Tomasz; Ambrus, Adrian; Alyaev, Sergey
(2023)
Exploration of strategies to improve continual learning from irregular sequential drilling data. I: Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering : Volume 9 : Offshore Geotechnics; Petroleum Technology.The American Society of Mechanical Engineers (ASME).
ISBN 9780791886915.
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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.
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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.
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- Bøker og kapitler
- Formidling
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Pacis, Felix James Cardano; Wiktorski, Tomasz; Ambrus, Adrian; Alyaev, Sergey
(2023)
Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data.
OMAE 42nd International Conference on Ocean, Offshore & Arctic Engineering;
2023-06-11 - 2023-06-16.
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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.
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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.
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Pacis, Felix James Cardano; Alyaev, Sergey; Wiktorski, Tomasz
(2022)
Demo: Chatbot for NCS well data.
Annual DigiWells Seminar 2022;
2022-12-01 - 2022-12-02.
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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.
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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.
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- Kunstnerisk produksjon
- Kommersialisering
