フォロー
Ryota Wada
Ryota Wada
確認したメール アドレス: k.u-tokyo.ac.jp
タイトル
引用先
引用先
Systems analysis for deployment of internet of things (IoT) in the maritime industry
K Hiekata, S Wanaka, T Mitsuyuki, R Ueno, R Wada, B Moser
Journal of Marine Science and Technology 26, 459-469, 2021
382021
Early stuck pipe sign detection with depth-domain 3D convolutional neural network using actual drilling data
N Tsuchihashi, R Wada, M Ozaki, T Inoue, KR Mopuri, H Bilen, ...
SPE Journal 26 (02), 551-562, 2021
332021
Longitudinal natural vibration of ultra-long drill string during offshore drilling
R Wada, T Kaneko, M Ozaki, T Inoue, H Senga
Ocean Engineering 156, 1-13, 2018
332018
Early sign detection for the stuck pipe scenarios using unsupervised deep learning
KR Mopuri, H Bilen, N Tsuchihashi, R Wada, T Inoue, K Kusanagi, ...
Journal of Petroleum Science and Engineering 208, 109489, 2022
252022
Extreme value estimation using the likelihood-weighted method
R Wada, T Waseda, P Jonathan
Ocean Engineering 124, 241-251, 2016
212016
A simple spatial model for extreme tropical cyclone seas
R Wada, T Waseda, P Jonathan
Ocean Engineering 169, 315-325, 2018
142018
Numerical modelling of a relatively small floating body’s wave and low frequency motion response, compared with observational data
C Wright, H Yoshimoto, R Wada, K Takagi
International Conference on Offshore Mechanics and Arctic Engineering 58882 …, 2019
122019
Prediction of wave time-history using multipoint measurements
K Takagi, S Hamamichi, R Wada, Y Sakurai
Ocean Engineering 140, 412-418, 2017
122017
Assessment of data-inherited uncertainty in extreme wave analysis
R Wada, T Waseda
Journal of Offshore Mechanics and Arctic Engineering 142 (2), 021204, 2020
112020
Combining physics-based and data-driven models for estimation of WOB during ultra-deep ocean drilling
T Kaneko, R Wada, M Ozaki, T Inoue
International Conference on Offshore Mechanics and Arctic Engineering 51296 …, 2018
102018
An unsupervised learning model for pipe stuck predictions using a long short-term memory autoencoder architecture
Y Nakagawa, T Inoue, H Bilen, KR Mopuri, K Miyoshi, S Abe3, R Wada, ...
SPE Asia Pacific Oil and Gas Conference and Exhibition, D011S009R006, 2021
92021
Benchmark for the sources of uncertainty in extreme wave analysis
R Wada, T Waseda
International Conference on Offshore Mechanics and Arctic Engineering 51227 …, 2018
92018
Well Design for Methane Hydrate Production: developing a low-cost production well for offshore Japan
M Yamamoto, K Miura, R Wada, K Takagi
Offshore Technology Conference Asia, D021S011R001, 2018
82018
Attempt of early stuck detection using unsupervised deep learning with probability mixture model
T Inoue, Y Nakagawa, R Wada, K Miyoshi, S Abe, K Kuroda, H Tamamura, ...
International Conference on Offshore Mechanics and Arctic Engineering 85208 …, 2021
72021
A Brazil-Japan collaboration on a conceptual design of a floating offshore wind turbine for the São Paulo Coast
RT Gonçalves, GR Franzini, AN Simos, A Gay Neto, PC Mello, BS Carmo, ...
Anais, 2018
72018
Diffraction problem of a floating breakwater with an array of small ports
R Mondal, K Takagi, R Wada
Journal of Marine Science and Technology 22, 459-469, 2017
72017
Combining statistical and dynamical approaches in resource assessments of ocean wave, ocean current and tidal current power
T Waseda, K Kiyomatsu, A Ribal, Y Kidoura, R Wada
Renewable Energies Offshore, CG Soares, ed, 123-128, 2015
72015
Hybrid approach using physical insights and data science for early stuck detection
T Kaneko, T Inoue, Y Nakagawa, R Wada, K Miyoshi, S Abe, K Kuroda, ...
Offshore Technology Conference, D021S020R003, 2023
62023
Estimating extreme waves in the Gulf of Mexico using a simple spatial extremes model
R Wada, P Jonathan, T Waseda, S Fan
International Conference on Offshore Mechanics and Arctic Engineering 58882 …, 2019
62019
Prediction of individual waves based on multi-point measurements
R Wada, R Mondal, Y Sakurai, K Takagi
Offshore Technology Conference Asia, D041S043R003, 2016
62016
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