Achievements

Journal Papers (peer-reviewed)

  1. Suzuki, H., Inoue, T., Katsui, T., Wada, R., Tsuchiya, K., Notani, Y., & Koga, T. , 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; https://doi.org/10.17736/ijope.2022.mt32

  2. Kaneko, 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.

  3. Al 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.

  4. Fujiwara, T., Wada, R. & Ozaki, M. (2022). Experimental study on two vertical risers in steady flow. Journal of Marine Science and Technology, 27, 989–1001.

  5. Wada, 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.

  6. Mopuri, 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.

  7. 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.

  8. Tsuchihashi, N., Wada, R., Ozaki, M., Inoue, T., Mopuri, K.R., Bilen, H., Nishiyama, T., Fujita, K., & Kusanagi, K.. (2020). Early Stuck Pipe Sign Detection with Depth-Domain 3D Convolutional Neural Network Using Actual Drilling Data. SPE Journal. (accepted)

  9. Kanazawa, M., Wada, R., & Ozaki, M. (2020). Analytical investigation of key factors for dynamic minimum tension in free-hanging slender structure with simplified lumped mass model. Ocean Engineering. (accepted)

  10. 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, (in press)

  11. Messori, 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. https://doi.org/10.1002/qj.3877 (#equal contribution)

  12. Hiekata, 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, https://doi.org/10.1007/s00773-020-00750-5.

  13. Wada, R., & Waseda, T. (2020). Assessment of Data-Inherited Uncertainty in Extreme Wave Analysis. Journal of Offshore Mechanics and Arctic Engineering, Vol. 142(2): 021204. https://doi.org/10.1115/1.4045621

  14. 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.

  15. 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.

  16. Wada, R., Waseda, T., & Jonathan, P. (2018). A simple spatial model for extreme tropical cyclone seas. Ocean Engineering, Vol. 169, pp. 315-325.

  17. Wada, 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.

  18. Lu, 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.

  19. 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.

  20. 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.

  21. Yamamoto, M., Wada, R., Kamizawa, K., & Takagi, K. (2017). The concept of FLT. Marine Systems & Ocean Technology, Vol. 12(3), pp. 104-116.

  22. 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.

  23. Takagi, K., Hamamichi, S., Wada, R., & Sakurai, Y. (2017). Prediction of wave time-history using multipoint measurements. Ocean Engineering, Vol. 140, pp. 412-418.

  24. 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.

  25. Mondal, 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.

  26. Wada, R., Waseda, T., & Jonathan, P. (2016). Extreme value estimation using the likelihood-weighted method. Ocean Engineering, Vol. 124, pp. 241-251.

  27. 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.

  28. 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.

  29. 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.

  30. 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.