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Keywords: artificial intelligence
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Proceedings Papers

Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A037, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104863
... steps, the existing literature on trustworthy AI is reviewed, and the proper approaches for evaluating trustworthiness in AI-based digital navigators are identified and proposed. artificial intelligence machine learning shipping maritime human navigator digital navigator trustworthy AI...
Proceedings Papers

Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A072, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104455
... scenarios. artificial intelligence machine learning control modeling and optimization automation Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering OMAE2023 June 11-16, 2023, Melbourne, Australia OMAE2023-104455 AUTONOMOUS PORT NAVIGATION...
Proceedings Papers

Proc. ASME. OMAE2023, Volume 1: Offshore Technology, V001T01A033, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-103160
... visualization or conventional methods/tools to get to a reasonable detection rate. Although challenging, solving this task can be rewarding. This is an area that Artificial Intelligence (AI) is very good at, and AI can be an essential component of a reliable dry monitoring system. This paper presents several...
Proceedings Papers

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A006, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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
Publisher: American Society of Mechanical Engineers
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. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT12A013, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-80042
... with detailed investigation on test dataset. Reducing the length of input window and increasing the length of output window was seen to reduce the accuracy of prediction. Keywords: ship motions, neural network, artificial intelligence, vessel performance prediction 1. INTRODUCTION Ship motions play an important...
Proceedings Papers

Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A007, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
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

Proc. ASME. OMAE2021, Volume 1: Offshore Technology, V001T01A033, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-63326
..., the trained model can still function when 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...
Proceedings Papers

Proc. ASME. OMAE2021, Volume 1: Offshore Technology, V001T01A003, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62674
.... floating offshore platforms artificial intelligence artificial neural networks mooring system design Proceedings of the ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering OMAE2021 June 21-30, 2021, Virtual, Online OMAE2021-62674 NEURAL NETWORK META-MODELS FOR FPSO...
Proceedings Papers

Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A001, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18060
... artificial intelligence predictive analysis monitoring rig activity rig state uncertainty analysis forecasting automation software cloud-based applications anomaly detection sensors logging REAL-TIME WELL MONITORING AND ENGINEERING ANALYSIS OF DRILLING ACTIVITIES: INTELLIGENT RIG STATE...
Proceedings Papers

Proc. ASME. OMAE2020, Volume 6B: Ocean Engineering, V06BT06A027, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-19276
... approach based on Deep Reinforcement Learning. Results from both the approaches are compared for various case studies. nonlinear control deep reinforcement learning machine-learning station-keeping marine robotics artificial intelligence unmanned surface vehicles autonomous surface vehicles...
Proceedings Papers

Proc. ASME. OMAE2020, Volume 1: Offshore Technology, V001T01A017, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18095
... addresses an advanced approach using artificial intelligence in order to estimate the downtime in a more realistic manner. This approach is compared with conventional methods used in the industry and is applied for a number of terminal projects presented in this paper. Operations at marine terminals...
Proceedings Papers

Proc. ASME. OMAE2019, Volume 7A: Ocean Engineering, V07AT06A054, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
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...