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1-11 of 11
Keywords: artificial intelligence
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Proceedings Papers
Bhushan Taskar, Kie Hian Chua, Tatsuya Akamatsu, Ryo Kakuta, Song Wen Yeow, Ryosuke Niki, Keita Nishizawa, Allan Magee
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT12A013, June 5–10, 2022
Paper No: OMAE2022-80042
.... ship motions neural network artificial intelligence vessel performance prediction Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering OMAE2022 June 5-10, 2022, Hamburg, Germany OMAE2022-80042 REAL-TIME SHIP MOTION PREDICTION USING ARTIFICIAL NEURAL...
Proceedings Papers
Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A006, June 5–10, 2022
Paper No: OMAE2022-78423
... operations artificial intelligence Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering OMAE2022 June 5-10, 2022, Hamburg, Germany OMAE2022-78423 UNSUPERVISED MACHINE LEARNING: A WELL PLANNING TOOL FOR THE FUTURE Peter Batruny1, Tim Robinson2, 1PETRONAS...
Proceedings Papers
Proc. ASME. OMAE2022, Volume 5A: Ocean Engineering, V05AT06A030, June 5–10, 2022
Paper No: OMAE2022-79490
... to establish the basis for advanced data analytics that will be used to identify optimal vessel navigation and ship system operational conditions. machine learning artificial intelligence shipping energy efficiency emission control marine engines Proceedings of the ASME 2022 41st International...
Proceedings Papers
Proc. ASME. OMAE2022, Volume 1: Offshore Technology, V001T01A008, June 5–10, 2022
Paper No: OMAE2022-78647
... and automated decision-making in subsea production system design. field architecture decision-support tool artificial intelligence concept selection offshore production systems Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering OMAE2022 June 5-10...
Proceedings Papers
Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A007, June 21–30, 2021
Paper No: OMAE2021-63094
... most fluid-related issues in drilling. The review discusses various ML methods, their theory, applications, limitations, and achievements. machine learning digital twinning artificial neural networks artificial intelligence drilling fluids automation Proceedings of the ASME 2021 40th...
Proceedings Papers
Djoni E. Sidarta, Nicolas Tcherniguin, Ho-Joon Lim, Philippe Bouchard, Mengchen Kang, Aurelien Leridon
Proc. ASME. OMAE2021, Volume 1: Offshore Technology, V001T01A033, June 21–30, 2021
Paper No: OMAE2021-63326
... tested Artificial Intelligence, Artificial Neural Networks with simulations of a line broken at the bottom. These give affirmation that the ANN model can tolerate the differences that NOMENCLATURE exist between the test and training data. AI Artificial Intelligence Sensitivity of the polyester line...
Proceedings Papers
Lucas Pereira Cotrim, Henrique Barros Oliveira, Asdrubal N. Queiroz Filho, Ismael H. F. Santos, Rodrigo Augusto Barreira, Eduardo Aoun Tannuri, Anna Helena Reali Costa, Edson Satoshi Gomi
Proc. ASME. OMAE2021, Volume 1: Offshore Technology, V001T01A003, June 21–30, 2021
Paper No: OMAE2021-62674
... This work was nanced in part by the Coordenac¸a o de Aperfeic¸oamento de Pessoal de N´ vel Superior (CAPES Finance V001T01A003-10 Copyright © 2021 by ASME floating offshore platforms artificial intelligence artificial neural networks mooring system design Abstract Abstract The current design...
Proceedings Papers
Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A001, August 3–7, 2020
Paper No: OMAE2020-18060
... and quickly. It can also be extended to further applications. Keywords: Real-time, data analytics, drilling engineering, drilling operations, offshore, onshore, safety, digital, machine learning, artificial intelligence, predictive analysis, monitoring, rig activity, rig state, uncertainty analysis...
Proceedings Papers
Proc. ASME. OMAE2020, Volume 1: Offshore Technology, V001T01A017, August 3–7, 2020
Paper No: OMAE2020-18095
... for designing new terminals and ports in addition to planning offshore operations such as dredging, structure installations, etc. The present paper addresses an advanced approach using artificial intelligence in order to estimate the downtime in a more realistic manner. This approach is compared...
Proceedings Papers
Proc. ASME. OMAE2020, Volume 6B: Ocean Engineering, V06BT06A027, August 3–7, 2020
Paper No: OMAE2020-19276
... case studies. Keywords: nonlinear control, deep reinforcement learning, machine-learning, station-keeping, marine robotics, artificial intelligence, unmanned surface vehicles, autonomous surface vehicles. 1. INTRODUCTION Marine operations involving search-and-rescue, research-related surveys...
Proceedings Papers
Proc. ASME. OMAE2019, Volume 7A: Ocean Engineering, V07AT06A054, June 9–14, 2019
Paper No: OMAE2019-95312
...DOWNTIME TECHNIQUE USING ARTIFICIAL INTELLIGENCE: A CASE STUDY FOR AN EXPOSED BERTHING FACILITY Ghassan El Chahal1, Peter A. B. Morel COWI A/S , Marine and Foundation Department Copenhagen Denmark Sindhu Mole, Nadjib Saadali COWI A/S , Marine and Foundation Department Dubai - United Arab Emirates...
