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Journal Articles

Estimation of Subsea Line Structure Behavior Based on Sequential Data Assimilation With Distributed Sensing

Shun Kojima, Ryota Wada, Hideaki Murayama

J. Offshore Mech. Arct. Eng. October 2023, 145(5): 051703.

Paper No: OMAE-22-1114

DOI: https://doi.org/10.1115/1.4056846

Published Online: February 28, 2023

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Topics: Ocean engineering, Parameter estimation, Sensors, Errors, Computer simulation, Particulate matter, Fibers

Proceedings Papers

Estimating Joint Extremes of Significant Wave Height and Wind Speed for Tropical Cyclones

Kosuke Sando, Ryota Wada, Jeremy Rohmer, Sophie Lecacheux, Philip Jonathan

Proc. ASME. OMAE2022, Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, V05BT06A005, June 5–10, 2022

Paper No: OMAE2022-79888

DOI: https://doi.org/10.1115/OMAE2022-79888

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Topics: Significant wave heights, Wind velocity, Engineering simulation, Indian Ocean, Modeling, Simulation

Proceedings Papers

Attempt of Early Stuck Detection Using Unsupervised Deep Learning With Probability Mixture Model

Tomoya Inoue, Yujin Nakagawa, Ryota Wada, Keisuke Miyoshi, Shungo Abe, Kouhei Kuroda, Hitoshi Tamamura, Hakan Bilen

Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A004, June 21–30, 2021

Paper No: OMAE2021-62739

DOI: https://doi.org/10.1115/OMAE2021-62739

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Topics: Machine learning, Pipes, Probability, Drilling, Artificial neural networks, Countermeasures, Support vector machines, Wells

Proceedings Papers

Spatial Features of Extreme Waves in Gulf of Mexico

Ryota Wada, Philip Jonathan, Takuji Waseda

Proc. ASME. OMAE2020, Volume 6B: Ocean Engineering, V06BT06A007, August 3–7, 2020

Paper No: OMAE2020-19190

DOI: https://doi.org/10.1115/OMAE2020-19190

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Topics: Gulf of Mexico, Waves, Disks, Modeling, Risk, Significant wave heights, Uncertainty

Proceedings Papers

Attempt of a Real-Time Drilling State Identification With Machine Learning

Tomoya Inoue, Junya Ishiwata, Ryota Wada, Junichiro Tahara

Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A026, August 3–7, 2020

Paper No: OMAE2020-19169

DOI: https://doi.org/10.1115/OMAE2020-19169

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Topics: Drilling, Machine learning

Proceedings Papers

Experimental Identification of an Advanced Spar’s Low Frequency Drag Damping in Waves

Christopher Wright, Haruki Yoshimoto, Ryota Wada, Ken Takagi

Proc. ASME. OMAE2020, Volume 9: Ocean Renewable Energy, V009T09A072, August 3–7, 2020

Paper No: OMAE2020-19020

DOI: https://doi.org/10.1115/OMAE2020-19020

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Topics: Damping, Drag (Fluid dynamics), Waves, Hull, Renewable energy, Water, Wind, Climate change, Engineering simulation, Floating bodies

Journal Articles

Assessment of Data-Inherited Uncertainty in Extreme Wave Analysis

Ryota Wada, Takuji Waseda

J. Offshore Mech. Arct. Eng. April 2020, 142(2): 021204.

Paper No: OMAE-18-1208

DOI: https://doi.org/10.1115/1.4045621

Published Online: February 6, 2020

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Topics: Gulf of Mexico, Uncertainty, Waves, North Sea, Shapes

Proceedings Papers

Estimating Extreme Waves in the Gulf of Mexico Using a Simple Spatial Extremes Model

Ryota Wada, Philip Jonathan, Takuji Waseda, Shejun Fan

Proc. ASME. OMAE2019, Volume 9: Rodney Eatock Taylor Honoring Symposium on Marine and Offshore Hydrodynamics; Takeshi Kinoshita Honoring Symposium on Offshore Technology, V009T13A007, June 9–14, 2019

Paper No: OMAE2019-95442

DOI: https://doi.org/10.1115/OMAE2019-95442

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Topics: Gulf of Mexico, Waves, Uncertainty, Modeling, Ocean engineering, Design, Manufacturing systems, Significant wave heights, Underpinning

Proceedings Papers

Numerical Modelling of a Relatively Small Floating Body’s Wave and Low Frequency Motion Response, Compared With Observational Data

Christopher Wright, Haruki Yoshimoto, Ryota Wada, Ken Takagi

Paper No: OMAE2019-96443

DOI: https://doi.org/10.1115/OMAE2019-96443

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Topics: Modeling, Waves, Wind energy, Displacement, Ocean engineering, Seas, Approximation, Chain, Climate change, Computer simulation

Proceedings Papers

Combining Physics-Based and Data-Driven Models for Estimation of WOB During Ultra-Deep Ocean Drilling

Tatsuya Kaneko, Ryota Wada, Masahiko Ozaki, Tomoya Inoue

Proc. ASME. OMAE2018, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A007, June 17–22, 2018

Paper No: OMAE2018-78229

DOI: https://doi.org/10.1115/OMAE2018-78229

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Topics: Physics, Underwater drilling, Drill strings, Drilling, Tension, Annulus, Artificial neural networks, Computer simulation, Displacement, Drills (Tools)

Proceedings Papers

Benchmark for the Sources of Uncertainty in Extreme Wave Analysis

Ryota Wada, Takuji Waseda

Proc. ASME. OMAE2018, Volume 3: Structures, Safety, and Reliability, V003T02A033, June 17–22, 2018

Paper No: OMAE2018-78216

DOI: https://doi.org/10.1115/OMAE2018-78216

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Topics: Uncertainty, Waves, Gulf of Mexico, North Sea, Errors, Meteorology, Pacific Ocean, Seas

Proceedings Papers

Analytical Approach on Dynamic Tension of Free Hanging Configuration

Motoyasu Kanazawa, Ryota Wada, Masahiko Ozaki

Proc. ASME. OMAE2018, Volume 5: Pipelines, Risers, and Subsea Systems, V005T04A007, June 17–22, 2018

Paper No: OMAE2018-77361

DOI: https://doi.org/10.1115/OMAE2018-77361

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Topics: Tension, Pipeline risers, Risers (Casting), Compression, Pipes, Water, Weight (Mass), Flexible risers, Maintenance, Polishing equipment

Proceedings Papers

Consideration of Epistemic Uncertainty in Extreme Wave Height Estimation

Ryota Wada, Takuji Waseda

Proc. ASME. OMAE2014, Volume 1A: Offshore Technology, V01AT01A022, June 8–13, 2014

Paper No: OMAE2014-23364

DOI: https://doi.org/10.1115/OMAE2014-23364

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Topics: Significant wave heights, Uncertainty, Design, Gulf of Mexico, Offshore structures, Oceans, Waves

Proceedings Papers

On the Aleatory and Epistemic Uncertainty of the Wave Resource Assessment in the North West Pacific

Yusuke Kidoura, Ryota Wada, Takuji Waseda

Proc. ASME. OMAE2014, Volume 9B: Ocean Renewable Energy, V09BT09A046, June 8–13, 2014

Paper No: OMAE2014-24496

DOI: https://doi.org/10.1115/OMAE2014-24496

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Topics: Pacific Ocean, Uncertainty, Waves, Seas, Arctic region, Oscillations, Wave energy, Climate, Emission spectroscopy, North Atlantic Ocean

Proceedings Papers

Likelihood-Weighted Method of General Pareto Distribution for Extreme Wave Height Estimation

Ryota Wada, Takuji Waseda

Proc. ASME. OMAE2013, Volume 5: Ocean Engineering, V005T06A057, June 9–14, 2013

Paper No: OMAE2013-10792

DOI: https://doi.org/10.1115/OMAE2013-10792

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Topics: Pareto distribution, Significant wave heights, Probability, Waves, Density, Design, Offshore structures, Statistics, Chain, Errors

Journal citation

NARROW

Estimation of Subsea Line Structure Behavior Based on Sequential Data Assimilation With Distributed Sensing

Estimating Joint Extremes of Significant Wave Height and Wind Speed for Tropical Cyclones

Attempt of Early Stuck Detection Using Unsupervised Deep Learning With Probability Mixture Model

Spatial Features of Extreme Waves in Gulf of Mexico

Attempt of a Real-Time Drilling State Identification With Machine Learning

Experimental Identification of an Advanced Spar’s Low Frequency Drag Damping in Waves

Assessment of Data-Inherited Uncertainty in Extreme Wave Analysis

Estimating Extreme Waves in the Gulf of Mexico Using a Simple Spatial Extremes Model

Numerical Modelling of a Relatively Small Floating Body’s Wave and Low Frequency Motion Response, Compared With Observational Data

Combining Physics-Based and Data-Driven Models for Estimation of WOB During Ultra-Deep Ocean Drilling

Benchmark for the Sources of Uncertainty in Extreme Wave Analysis

Analytical Approach on Dynamic Tension of Free Hanging Configuration

Consideration of Epistemic Uncertainty in Extreme Wave Height Estimation

On the Aleatory and Epistemic Uncertainty of the Wave Resource Assessment in the North West Pacific

Likelihood-Weighted Method of General Pareto Distribution for Extreme Wave Height Estimation

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