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Proceedings Papers

Forecasting Mooring Tension of Semi-Submersible Oil Production and Storage Platform Using a Novel Transformer Neural Network Model

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Yang Chen, Lihao Yuan
Proc. ASME. OMAE2024, Volume 1: Offshore Technology, V001T01A001, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-120988
https://doi.org/10.1115/OMAE2024-120988
View Paper titled, Forecasting Mooring Tension of Semi-Submersible Oil Production and Storage Platform Using a Novel Transformer Neural Network Model
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Topics: Artificial neural networks, Mooring, Neural network models, Semi-submersible offshore structures, Storage, Tension, Time series
Proceedings Papers

Investigation of Multiphase Flow Leak Detection in Pipeline Using Time Series Analysis Technique

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Abinash Barooah, Muhammad Saad Khan, Hicham Ferroudji, Mohammad Azizur Rahman, Rashid Hassan, Ibrahim Hassan, Ahmad K. Sleiti, Sina Rezaei Gomari, Matthew Hamilton
Proc. ASME. OMAE2024, Volume 8: Offshore Geotechnics; Petroleum Technology, V008T11A047, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-127882
https://doi.org/10.1115/OMAE2024-127882
View Paper titled, Investigation of Multiphase Flow Leak Detection in Pipeline Using Time Series Analysis Technique
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Topics: Leakage, Multiphase flow, Pipelines, Time series, Wavelets
Proceedings Papers

Combining Drilling Condition Analysis With Unsupervised Time Series Models for Kick Monitoring

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Detao Zhou, Zhaopeng Zhu, Gensheng Li, Xianzhi Song, Liang Han, Qihao Li, Chenzhan Zhou
Proc. ASME. OMAE2024, Volume 8: Offshore Geotechnics; Petroleum Technology, V008T11A028, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-128411
https://doi.org/10.1115/OMAE2024-128411
View Paper titled, Combining Drilling Condition Analysis With Unsupervised Time Series Models for Kick Monitoring
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Topics: Drilling, Time series
Proceedings Papers

Development of Time Series Drilling Datasets for Stuck Pipe Prediction Using Volve Field Data

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Cao Bo, Song Yu, Xu Feng, Peng Fukang
Proc. ASME. OMAE2024, Volume 8: Offshore Geotechnics; Petroleum Technology, V008T11A027, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-128386
https://doi.org/10.1115/OMAE2024-128386
View Paper titled, Development of Time Series Drilling Datasets for Stuck Pipe Prediction Using Volve Field Data
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Topics: Drilling, Machine learning, Pipes, Time series
Proceedings Papers

Prediction of Global Whipping Responses on a Large Cruise Ship Under Unknown Sea States Using an LSTM Based Encoder-Decoder Model

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Ruixiang Liu, Hui Li, Muk Chen Ong, Jian Zou
Proc. ASME. OMAE2024, Volume 6: Polar and Arctic Sciences and Technology; CFD, FSI, and AI, V006T08A040, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-126186
https://doi.org/10.1115/OMAE2024-126186
View Paper titled, Prediction of Global Whipping Responses on a Large Cruise Ship Under Unknown Sea States Using an LSTM Based Encoder-Decoder Model
Open the PDF for Prediction of Global Whipping Responses on a Large Cruise Ship Under Unknown Sea States Using an LSTM Based Encoder-Decoder Model in another window
Topics: Seas, Ships, Safety, Computer simulation, Girders, Hull, Machine learning, Stress, Time series, Vibration
Proceedings Papers

Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

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Felix James Pacis, Tomasz Wiktorski, Adrian Ambrus, Sergey Alyaev
Proc. ASME. OMAE2023, Volume 9: Offshore Geotechnics; Petroleum Technology, V009T11A005, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-102300
https://doi.org/10.1115/OMAE2023-102300
View Paper titled, Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data
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Topics: Drilling, Economics , Modeling, Optimization, Sensitivity analysis, Shales, Testing, Time series, Tradeoffs, Wells
Proceedings Papers

An Efficient Three-Dimensional CFD-Based Numerical Wave Tank for a Wave Energy Converter in Extreme Irregular Waves

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Will Wiley, Thanh Toan Tran, Thomas Boerner, Collin Weston, Lu Wang
Proc. ASME. OMAE2023, Volume 8: Ocean Renewable Energy, V008T09A074, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-105016
https://doi.org/10.1115/OMAE2023-105016
View Paper titled, An Efficient Three-Dimensional CFD-Based Numerical Wave Tank for a Wave Energy Converter in Extreme Irregular Waves
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Topics: Computational fluid dynamics, Wave energy converters, Waves, Flow (Dynamics), Simulation, Seas, Stress, Time series, Computer simulation, Excitation
Proceedings Papers

Is the 100-Year Return Value for Significant Wave Height Increasing in the Tasman Sea?

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Kevin Ewans, Philip Jonathan
Proc. ASME. OMAE2023, Volume 10: Professor Ian Young Honouring Symposium on Global Ocean Wind and Wave Climate; Blue Economy Symposium; Small Maritime Nations Symposium, V010T12A001, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104360
https://doi.org/10.1115/OMAE2023-104360
View Paper titled, Is the 100-Year Return Value for Significant Wave Height Increasing in the Tasman Sea?
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Topics: Seas, Significant wave heights, Storms, Climate, Climate change, Databases, Oceans, Time series, Uncertainty
Proceedings Papers

Time-Series Forecasting for Health Monitoring of Marine and Offshore Renewable Energy Systems

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Mohammad Mahdi Abaei, Ahmad BahooToroody, Ehsan Arzaghi, Rouzbeh Abbassi, Tommi Inkinen, Vikram Garaniya
Proc. ASME. OMAE2023, Volume 10: Professor Ian Young Honouring Symposium on Global Ocean Wind and Wave Climate; Blue Economy Symposium; Small Maritime Nations Symposium, V010T13A015, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104628
https://doi.org/10.1115/OMAE2023-104628
View Paper titled, Time-Series Forecasting for Health Monitoring of Marine and Offshore Renewable Energy Systems
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Topics: Condition monitoring, Machine learning, Ocean engineering, Renewable energy, Time series
Proceedings Papers

LSTM-Based Model Predictive Control for Motion Stabilized Platform of Doppler Lidar for Offshore Wind Observation

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Mizuki Kinugasa, Yusuke Yamamoto, Daisuke Terada, Toru Katayama
Proc. ASME. OMAE2023, Volume 4: Ocean Space Utilization, V004T05A020, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-108083
https://doi.org/10.1115/OMAE2023-108083
View Paper titled, LSTM-Based Model Predictive Control for Motion Stabilized Platform of Doppler Lidar for Offshore Wind Observation
Open the PDF for LSTM-Based Model Predictive Control for Motion Stabilized Platform of Doppler Lidar for Offshore Wind Observation in another window
Topics: Lidar, Ocean engineering, Predictive control, Wind, Torque, Buoys, Errors, Pendulums, Spar platforms, Wing spars
Proceedings Papers

Short-Term Sea Surface Elevation Prediction Using Deep Learning Methods

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Tak Yin Pang, Boyin Ding, Lingqiao Liu, Nataliia Sergiienko
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A070, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104377
https://doi.org/10.1115/OMAE2023-104377
View Paper titled, Short-Term Sea Surface Elevation Prediction Using Deep Learning Methods
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Topics: Seas, Time series, Waves, Artificial neural networks, Ocean waves, Oceans, Linear wave theory, Navigation, Noise (Sound), Ocean engineering
Proceedings Papers

Implementing a Method for Meteorological and Oceanographic Climate and Data Evaluation

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Joannes Gullaksen
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A065, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-101799
https://doi.org/10.1115/OMAE2023-101799
View Paper titled, Implementing a Method for Meteorological and Oceanographic Climate and Data Evaluation
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Topics: Climate, Computer software, Design, Meteorology, Ocean engineering, Fittings, Time series, Emission spectroscopy, Energy sustainability, Goodness-of-fit tests
Proceedings Papers

Modeling and Analysis of the Bending Moment in a Subsea Shuttle Tanker Under the Effect of Waves Using a Multi-Body Approach

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Karan Sandipkumar Patel, Yucong Ma, Yihan Xing, Lin Li
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A087, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-100707
https://doi.org/10.1115/OMAE2023-100707
View Paper titled, Modeling and Analysis of the Bending Moment in a Subsea Shuttle Tanker Under the Effect of Waves Using a Multi-Body Approach
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Topics: Modeling, Ocean engineering, Tankers, Underwater vehicles, Waves, Hull, Water, Finite element methods, Autonomous underwater vehicles, Autonomous vehicles
Proceedings Papers

Modeling Oceanic Variables With Graph-Guided Networks for Irregularly Sampled Multivariate Time Series

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Jefferson Fialho Coelho, Marcel Rodrigues de Barros, Caio Fabricio Deberaldini Netto, Felipe Marino Moreno, Lucas Palmiro de Freitas, Marlon Sproesser Mathias, Fábio Gagliardi Cozman, Marcelo Dottori, Edson Satoshi Gomi, Eduardo Aoun Tannuri, Anna Helena Reali Costa
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A058, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104603
https://doi.org/10.1115/OMAE2023-104603
View Paper titled, Modeling Oceanic Variables With Graph-Guided Networks for Irregularly Sampled Multivariate Time Series
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Topics: Artificial neural networks, Modeling, Oceans, Physics, Time series, Seas, Shorelines, Machine learning, Noise (Sound), Sensors
Proceedings Papers

Augmented Adaptive Filter for Real-Time Sea State Estimation Using Vessel Motions Through Deep Learning

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Hamed Majidiyan, Hossein Enshaei, Damon Howe
Proc. ASME. OMAE2023, Volume 5: Ocean Engineering, V005T06A069, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104286
https://doi.org/10.1115/OMAE2023-104286
View Paper titled, Augmented Adaptive Filter for Real-Time Sea State Estimation Using Vessel Motions Through Deep Learning
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Topics: Filters, Seas, Ships, State estimation, Time series, Vessels
Proceedings Papers

A Physics-Informed Neural Operator for the Simulation of Surface Waves

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Marlon Sproesser Mathias, Caio Fabricio Deberaldini Netto, Felipe Marino Moreno, Jefferson Fialho Coelho, Lucas Palmiro de Freitas, Marcel Rodrigues de Barros, Pedro Cardozo de Mello, Marcelo Dottori, Fábio Gagliardi Cozman, Anna Helena Reali Costa, Alberto Costa Nogueira Junior, Edson Satoshi Gomi, Eduardo Aoun Tannuri
Proc. ASME. OMAE2023, Volume 7: CFD & FSI, V007T08A013, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104950
https://doi.org/10.1115/OMAE2023-104950
View Paper titled, A Physics-Informed Neural Operator for the Simulation of Surface Waves
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Topics: Artificial neural networks, Computational fluid dynamics, Dimensions, Encryption, Machine learning, Modeling, Physics, Rotation, Simulation, Surface waves (Fluid)
Proceedings Papers

Deep Learning Based Prediction of Hydrodynamic Forces on Offshore Platforms

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Tharindu Pradeeptha Miyanawala, Yulong Li, Yun Zhi Law, Harrif Santo
Proc. ASME. OMAE2023, Volume 7: CFD & FSI, V007T08A012, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-104748
https://doi.org/10.1115/OMAE2023-104748
View Paper titled, Deep Learning Based Prediction of Hydrodynamic Forces on Offshore Platforms
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Topics: Fluid-dynamic forces, Jack-up drilling rigs, Ocean engineering, Offshore platforms, Waves, Time series, Computation, Drag (Fluid dynamics), Approximation, Artificial neural networks
Proceedings Papers

Development of an Online Ship Simulator to Represent the Dynamic Ship Responses in Regular Waves Using an Inertial Measurement Unit

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Luis A. Zorrilla Gomez, Beatriz K. Miranda Sandoval, Miguel A. Hinostroza, Saida M. Ramos Quiñonez, Nain M. Ramos Alvarez
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A059, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-79278
https://doi.org/10.1115/OMAE2022-79278
View Paper titled, Development of an Online Ship Simulator to Represent the Dynamic Ship Responses in Regular Waves Using an Inertial Measurement Unit
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Topics: Measurement units and standards, Ships, Waves, Vessels, Degrees of freedom, Dynamic response, Ocean engineering, Propulsion systems, Seas, Time series
Proceedings Papers

Application of Machine Learning for the Generation of Tailored Wave Sequences

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Marco Klein, Merten Stender, Mathies Wedler, Svenja Ehlers, Moritz Hartmann, Nicolas Desmars, Marc-André Pick, Robert Seifried, Norbert Hoffmann
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT12A015, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-78601
https://doi.org/10.1115/OMAE2022-78601
View Paper titled, Application of Machine Learning for the Generation of Tailored Wave Sequences
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Topics: Machine learning, Waves, Artificial neural networks, Modeling, Nonlinear waves, Seas, Spectra (Spectroscopy), Time series
Proceedings Papers

Water-Depth Identification From Free-Surface Data Using the KdV-Based Nonlinear Fourier Transform

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Pascal de Koster, Markus Brühl, Sander Wahls
Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A056, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-78882
https://doi.org/10.1115/OMAE2022-78882
View Paper titled, Water-Depth Identification From Free-Surface Data Using the KdV-Based Nonlinear Fourier Transform
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Topics: Fourier transforms, Water, Waves, Gages, Time series, Wave packets, Flumes, Korteweg-de Vries equation, Water waves, Wave propagation