Publications
Journal Papers (peer-reviewed)
Sando, K., Wada, R., Rohmer, J., & Jonathan, P. (2024). Multivariate spatial and spatio-temporal models for extreme tropical cyclone seas. Ocean Engineering, 309, 118365.
🔗 (OpenAccess) Extreme MetoceanSuzuki, K., Wada, R., Konno, Y., Hiekata, K., Nanjo, T., & Nagakubo, S. (2024). Impact of epistemic uncertainty on tradeoff in model-based decision support for methane hydrate development system design. Applied Energy, 356, 122408.
🔗 Model-Based Technology&PolicyWada, R., Hajohta, H., Konno, Y., Yamamoto, M., Sato, T., Yamamoto, Y., Muraoka, M., Suzuki, K., & Ninomiya, S. (2024). Design of closed loop for reproduction of gas-dominated hydrate flow. Review of Scientific Instruments, Volume Number(Issue Number), Page Range.
🔗 Ocean Engineering DataScience
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Kaneko, T., Wada, R., Ozaki, M., & Inoue, T. (2023). Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts. Ocean Engineering, 284, 115267.
🔗 Drilling Ocean Engineering DataScienceKaneko, T., Inoue, T., Nakagawa, Y., Wada, R., Abe, S., Yasutake, G., & Fujita, K. (2023). Hybrid Approach Using Physical Insights and Data Science for Stuck-Pipe Prediction. SPE Journal, 1-10.
🔗 Drilling Ocean Engineering DataScienceKojima, S., Wada, R., & Murayama, H. (2023). Estimation of Subsea Line Structure Behavior Based on Sequential Data Assimilation With Distributed Sensing. Journal of Offshore Mechanics and Arctic Engineering, 145(5), 051703.
🔗 Ocean Engineering DataScienceFujiwara, T., Wada, R., & Ozaki, M. (2023). Forced oscillation experiments for each vibration mode of closely spaced parallel pipes in steady flow. Journal of Fluids and Structures, 117, 103833.
🔗 Ocean Engineering
ーーーーーーーーーーーーーーーーーーーーーーーーーーWright, C. S., Yoshimoto, H., Wada, R., & Takagi, K. (2022). Surge slow drift viscous drag damping of an advanced spar: A numerical–experimental method for variable damping rates. Ocean Engineering, 266, 112696.
🔗 CCS OffshoreWind Ocean Engineering本田明弘, 和田良太, 渡部正人, & 玉田正樹. (2022). 洋上風力発電の建設に対する気象・海象の影響. 風工学研究論文集, 27, 284-293.
🔗 Metocean OffshoreWindSuzuki, H., Inoue, T., Katsui, T., Wada, R., Tsuchiya, K., Notani, Y., & Koga, T. (2022), Experimental and Numerical Studies on Behavior of Rotating Model Drill Pipe in Uniform Flow, International Journal of Offshore and Polar Engineering, Vol. 32, No. 3, 2022, pp. 285–295
🔗 Drilling Ocean EngineeringKaneko, T., Wada, R., Ozaki, M., & Inoue, T. (2022). Hybrid model of a physics-based model and machine learning for real-time estimation of unmeasurable parts: Mapping from measurable to unmeasurable variables. Ocean Engineering, 261, 112123.
🔗 Drilling Ocean Engineering DataScienceAl Baroudi, H., Wada, R., Ozaki, M., Patchigolla, K., Iwatomi, M., Murayama, K., & Otaki, T. (2022). Real-scale investigation of liquid CO2 discharge from the emergency release coupler of a marine loading arm. International Journal of Greenhouse Gas Control, 118, 103674.
🔗 PDF CCSFujiwara, T., Wada, R. & Ozaki, M. (2022). Experimental study on two vertical risers in steady flow. Journal of Marine Science and Technology, 27, 989–1001.
🔗 Ocean EngineeringWada, R., Rohmer, J., Krien, Y., & Jonathan, P. (2022). Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea. Natural Hazards and Earth System Sciences, 22(2), 431-444.
🔗 PDF Extreme MetoceanMopuri, K. R., Bilen, H., Tsuchihashi, N., Wada, R., Inoue, T., Kusanagi, K., ... & Tamamura, H. (2022). Early sign detection for the stuck pipe scenarios using unsupervised deep learning. Journal of Petroleum Science and Engineering, 208, 109489.
🔗 Drilling Ocean Engineering DataScience
ーーーーーーーーーーーーーーーーーーーーーーーーーーFujiwara, T., Wada, R., & Ozaki, M. (2021) Experimental study on elastic behaviors of two tandem risers in constant flow. Journal of Marine Science and Technology, 1-12.
🔗 Ocean Engineering
ーーーーーーーーーーーーーーーーーーーーーーーーーーTsuchihashi, N., Wada, R., Ozaki, M., Inoue, T., Mopuri, K. R., Bilen, H., ... & Kusanagi, K. (2021). Early stuck pipe sign detection with depth-domain 3D convolutional neural network using actual drilling data. SPE Journal, 26(02), 551-562.
🔗 Drilling Ocean Engineering DataScienceKanazawa, M., Wada, R., & Ozaki, M. (2020). Analytical investigation of key factors for dynamic minimum tension in free-hanging slender structures with simplified lumped mass model. Ocean Engineering, 218, 108196.
🔗 Ocean Engineering恩田将維, 和田良太, 尾崎雅彦. (2020). 浅水深海域における浮体式洋上風車のシンカー付きカテナリー係留に関する研究. 日本船舶海洋工学会論文集, 第32号, 77-90.
🔗 PDF Ocean Engineering OffshoreWindMessori, G.#, Wada, R.#, & Woods, C. (2020). A spatial model for return values of warm temperature extremes in the High Arctic. Quarterly Journal of the Royal Meteorological Society. (#equal contribution)
🔗 PDF Extreme MetoceanHiekata, K., Wanaka, S., Mitsuyuki, T., Ueno, R., Wada, R., & Moser, B. (2020). Systems analysis for deployment of internet of things (IoT) in the maritime industry. Journal of Marine Science and Technology.
🔗 PDF Model-Based Technology&PolicyWada, R., & Waseda, T. (2020). Assessment of Data-Inherited Uncertainty in Extreme Wave Analysis. Journal of Offshore Mechanics and Arctic Engineering, Vol. 142(2): 021204.
🔗 Extreme Metocean
ーーーーーーーーーーーーーーーーーーーーーーーーーー小平翼, 和田良太, 和田大門, 渡邊省吾, 北祐樹, 早稲田卓爾. (2019). 低コスト沿岸域海上風観測システムの構築と実証. 日本船舶海洋工学会論文集, 第29号, pp. 163-169. 🔗 Metocean
金子達哉, 和田良太，尾崎雅彦, 井上朝哉. (2019).再帰型ニューラルネットワークを用いた超大水深掘削のWOB推定. 日本船舶海洋工学会論文集, 第29号, pp. 123-133. 🔗 Drilling DataScience
ーーーーーーーーーーーーーーーーーーーーーーーーーーWada, R., Waseda, T., & Jonathan, P. (2018). A simple spatial model for extreme tropical cyclone seas. Ocean Engineering, Vol. 169, pp. 315-325.
🔗 PDF Extreme MetoceanWada, R., Kaneko, T., Ozaki, M., Inoue, T., & Senga, H. (2018). Longitudinal natural vibration of ultra-long drill string during offshore drilling. Ocean Engineering, Vol. 156, pp. 1-13.
🔗 Drilling Ocean EngineeringLu, Y., Ozaki, M., & Wada, R. (2018). Squalls in sea off coast of Japan and their effects on marine operations based on weather observatory data at remote islands. Journal of Marine Science and Technology, Vol. 23(1), pp104-121.
🔗 Extreme Metocean
ーーーーーーーーーーーーーーーーーーーーーーーーーーTakagi, K., Mondal, R., & Wada, R. (2017). Wave motion in internal water of a floating logistics terminal. Marine Systems & Ocean Technology, Vol. 12(4), pp. 243-251.
🔗 Ocean Engineering稗方和夫, 満行泰河, 上野隆治, 和田良太, Bryan Moser. (2017). 海事産業における IoT 技術導入の意思決定支援に関する研究. 日本船舶海洋工学会論文集, 第25号, pp.175-182.
🔗 Model-Based Technology&PolicyYamamoto, M., Wada, R., Kamizawa, K., & Takagi, K. (2017). The concept of FLT. Marine Systems & Ocean Technology, Vol. 12(3), pp. 104-116.
🔗 Ocean Engineering Technology&Policy小平翼, 和田良太, & 早稲田卓爾. (2017). 日本沿岸潮流発電の資源量推定に対する潮流の長期変動の影響. 日本船舶海洋工学会論文集, Vol. 25, pp. 151-156.
🔗 MetoceanTakagi, K., Hamamichi, S., Wada, R., & Sakurai, Y. (2017). Prediction of wave time-history using multipoint measurements. Ocean Engineering, Vol. 140, pp. 412-418.
🔗 Ocean Engineering
ーーーーーーーーーーーーーーーーーーーーーーーーーー和田良太，高木健 (2016). 我が国の海洋開発力強化と協創プラットフォームについて. 日本船舶海洋工学会論文集, 第24号, pp. 259-273.
🔗 Technology&PolicyMondal, R., Takagi, K., & Wada, R. (2016). Diffraction problem of a floating breakwater with an array of small ports. Journal of Marine Science and Technology, Vol. 22, pp. 459–469.
🔗 Ocean EngineeringWada, R., Waseda, T., & Jonathan, P. (2016). Extreme value estimation using the likelihood-weighted method. Ocean Engineering, Vol. 124, pp. 241-251.
🔗 Extreme Metocean
ーーーーーーーーーーーーーーーーーーーーーーーーーー和田良太，尾崎雅彦. （2014）. 日本周辺海域における静穏および荒天海象の連続性について，日本船舶海洋工学会論文集，第20号, 85-97.
🔗 CCS Extreme Metocean尾崎雅彦，和田良太（2014）.シャトルシップ方式による沖合CCSの輸送システムと余裕能力の計画．日本船舶海洋工学会論文集，第20号197-204.
🔗 CCS Technology&Policy
ーーーーーーーーーーーーーーーーーーーーーーーーーー和田良太，早稲田卓爾. (2013).極値推定における Weibull 分布の信頼区間について，日本船舶海洋工学会論文集，第18号, pp. 135-142.
🔗 Extreme
ーーーーーーーーーーーーーーーーーーーーーーーーーーWada, R., Waseda, T., & Nanjo, H. (2012). Nonlinear interaction of the Tsugaru Warm Current and tide in the Tsugaru Strait, Ocean Dynamics，Vol.62, No.6, pp. 923-941.
🔗 Metocean