Researcher Information
researchmap URL
Research History
Education
- Apr. 2018 - Mar. 2021, The University of Tokyo, Graduate School of Frontier Sciences, Department of Ocean Technology, Policy,and Environment
- Apr. 2016 - Mar. 2018, The University of Tokyo, Graduate School of Frontier Sciences, Department of Ocean Technology, Policy,and Environment
- Apr. 2014 - Mar. 2016, The University of Tokyo, The Faculty of Engineering, Department of Systems Innovation
- Apr. 2012 - Mar. 2014, The University of Tokyo, College of Arts and Sciences, 理科一類
Research activity information
Papers
- Tatsuya Kaneko; Tomoya Inoue; Ryota Wada; Tokihiro Katsui; Hiroyoshi Suzuki
Torsional Vibration of Drill String Induced by Heave Motion in Deepwater Drilling
Journal of Offshore Mechanics and Arctic Engineering, 18 Mar. 2025
147, 6, 061801
[Reviewed]
Lead, Corresponding - Tatsuya Kaneko; Hidetaka Houtani; Ryota Wada; Tomoya Inoue
Phase-resolved prediction of ocean wave field using video prediction
Applied Ocean Research, Jan. 2025
154, 104358
[Reviewed]
Lead - Tatsuya Kaneko; Tomoya Inoue; Yujin Nakagawa; Ryota Wada; Shungo Abe; Gota Yasutake; Kazuhiro Fujita
Hybrid Approach Using Physical Insights and Data Science for Stuck-Pipe Prediction
SPE Journal, 06 Nov. 2023
29, 02, 641, 650
[Reviewed]
Lead, Corresponding - Tatsuya Kaneko; Ryota Wada; Masahiko Ozaki; Tomoya Inoue
Hybrid physics-based and machine learning model with interpretability and uncertainty for real-time estimation of unmeasurable parts
Ocean Engineering, Sep. 2023
284, 115267, 115267
[Reviewed]
Lead, Corresponding - Tatsuya Kaneko; Ryota Wada; Masahiko Ozaki; Tomoya Inoue
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, Oct. 2022
261, 112123, 112123
[Reviewed]
Lead, Corresponding - Tatsuya Kaneko; Ryota Wada; Masahiko Ozaki; Tomoya Inoue
WOB Estimation during Ultra-deep Ocean Drilling by Use of Recurrent Neural Networks
Journal of the Japan Society of Naval Architects and Ocean Engineers, 2019
29, 123, 133
[Reviewed]
Lead, Corresponding - Ryota Wada; Tatsuya Kaneko; Masahiko Ozaki; Tomoya Inoue; Hidetaka Senga
Longitudinal natural vibration of ultra-long drill string during offshore drilling
Ocean Engineering, 15 May 2018
156, 1, 13
[Reviewed]
Misc.
- Yosaku Maeda; Hitoshi Kakami; Yoshitaka Watanabe; Tatsuya Aso; Kazuya Iwashita; Tatsuya Kaneko; Tomoya Inoue; Hiroaki Koike; Yuhei Noborio; Atuso Maki
Towards an Autonomous Sampling System for the Hadal Zone
2025 IEEE Underwater Technology (UT), 02 Mar. 2025
1, 5 - Tatsuya Kaneko; Hiroyuki Yamato
Adaptive System for Autonomous Landing Control of Seaplanes
Complex Adaptive Systems, Mar. 2025
[Reviewed]
Lead, Corresponding - Kazuo Hiekata; Yuki Maeda; Takuya Nakashima; Tomoya Inoue; Takeshi Nakatani; Tatsuya Kaneko
Model-Based Design for Ocean Exploration Systems
Complex Adaptive Systems, Mar. 2025
[Reviewed] - 金子達哉; 井上朝哉; 澤木隆之輔; 鈴木博善
Reproduction of Backward Whirl and Examination of Coupling with Magnus Effect in Drill Pipe by Model Experiments
日本船舶海洋工学会講演会論文集(CD-ROM), Nov. 2024
39 - 竹本樹央; 和田良太; 金子達哉; 井上朝哉; 安部俊吾; 安武剛太
Consideration of Hierarchical Bayesian Models for Early Stuck Pipe Detection in Realtime Drilling
日本船舶海洋工学会講演会論文集(CD-ROM), Nov. 2024
39 - 登尾悠平; 小池弘顕; 神原太地; 前田洋作; 各務均; 麻生達也; 金子達哉; 井上朝哉; 牧敦生
Research on system identification of 4 DoF maneuvering model of autonomous underwater vehicle based on CMA-ES
日本船舶海洋工学会講演会論文集(CD-ROM), Nov. 2024
39 - 原大雅; 和田良太; 尾崎雅彦; 金子達哉
Optimization of CCS Transport Network with Hubs and Clusters
日本船舶海洋工学会講演会論文集(CD-ROM), Nov. 2024
39 - Tomoya Inoue; Tatsuya Kaneko; Yujin Nakagawa; Ryota Wada; Shungo Abe; Gota Yasutake
A NOVEL APPROACH OF DATA SCIENCE INCORPORATING PHYSICAL KNOWLEDGE FOR EARLY STUCK PIPE DETECTION
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 09 Jun. 2024
8
[Reviewed] - Tatsuya Kaneko; Tomoya Inoue; Ryota Wada; Tokihiro Katsui; Hiroyoshi Suzuki
ANALYTICAL AND NUMERICAL STUDY ON DRILL-STRING TORSIONAL VIBRATION UNDER WEIGHT-ON-BIT FLUCTUATION
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 09 Jun. 2024
8
[Reviewed]
Lead, Corresponding - 金子達哉; 井上朝哉; 宝谷英貴; 和田良太
Short-Time Prediction of Wave Field by Video Prediction
日本船舶海洋工学会講演会論文集(CD-ROM), May 2024
38 - T. Kaneko; T. Inoue; Y. Nakagawa; R. Wada; S. Abe; G. Yasutake; K. Fujita
Evaluating Profitability of Hybrid Approach for Early Stuck-Sign Detection: Analyzing False Alarms and Quantifying Reduction in Nonproductive Time
IADC/SPE International Drilling Conference and Exhibition, 27 Feb. 2024 - Tomoya Inoue; Yujin Nakagawa; Tatsuya Kaneko; Ryota Wada; Shungo Abe; Gota Yasutake
A Novel Approach of Machine Learning Incorporating Physical Knowledge of Hook Load for Early Stuck Detection
Day 2 Wed, February 28, 2024, 22 Feb. 2024 - Tomoya Inoue; Yujin Nakagawa; Tatsuya Kaneko; Ryota Wada; Keisuke Miyoshi; Shungo Abe
Early Stuck Pipe Detection Using Graph Attention Machine Learning
Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering, 11 Jun. 2023
9
[Reviewed] - Tatsuya Kaneko; Tomoya Inoue; Ryota Wada; Tokihiro Katsui; Hiroyoshi Suzuki
Analytical, Numerical, and Field Data Investigation for Deriving the Condition of Stick-Slip Drill String Vibration
Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering, 11 Jun. 2023
9
[Reviewed]
Lead, Corresponding - Tatsuya Kaneko; Tomoya Inoue; Yujin Nakagawa; Ryota Wada; Keisuke Miyoshi; Shungo Abe; Kouhei Kuroda; Kazuhiro Fujita
Hybrid Approach Using Physical Insights and Data Science for Early Stuck Detection
Offshore Technology Conference, 24 Apr. 2023
2023-May
Lead, Corresponding - 井上朝哉; 金子達哉; 鈴木博善; RHEEM Chang-Kyu; 和田良太; 勝井辰博
Research Activities on Drill Pipe Dynamics
日本船舶海洋工学会講演会論文集(CD-ROM), 2023
37 - KANEKO Tatsuya; INOUE Tomoya; SUZUKI Hiroyoshi; TUN Hanny; KATSUI Tokihiro
Experimental Study on Torsional Vibration of Drill String Under Weight on Bit Fluctuation
日本船舶海洋工学会講演会論文集(CD-ROM), 2023
37 - 井上朝哉; 金子達哉; 中川友進; 和田良太; 安部俊吾; 安武剛太; 藤田和宏
Research on Anomaly Detection in Drilling Operations by Applying Machine Learning
日本船舶海洋工学会講演会論文集(CD-ROM), 2023
37 - 西嶋凛々花; TUN Hanny; 古賀太斗; 古賀太斗; 井上朝哉; 金子達哉; 鈴木博善
A Study on Estimating the Underwater Behavior of a Model Drill Pipe
日本船舶海洋工学会講演会論文集(CD-ROM), 2023
37 - 道家壮紀; 渡邊佳孝; 井上朝哉; 金子達哉; 鈴木博善
Fundamental Study on Automatic Object Identification by AI Based on Side Scan Sonar Data
日本船舶海洋工学会講演会論文集(CD-ROM), 2023
37 - 安部俊吾; 井上朝哉; 金子達哉; 和田良太; 藤田和宏; 黒田耕平; 及川敦司; 蛯谷亮
Case study or digital technology development for predictive detection of drilling-related problems
石油技術協会特別講演会・春季講演会(シンポジウム・個人講演)要旨集(CD-ROM), Jun. 2023
2023 - 金子達哉; 井上朝哉; 中川友進; 和田良太; 三好啓介; 安部俊吾; 黒田耕平
Performance Evaluation of Early Stuck Sign Detection Methods Using Physical Knowledge and Drilling Data
日本船舶海洋工学会講演会論文集(CD-ROM), Jun. 2023
36, 485, 490 - Tatsuya Kaneko; Ryota Wada; Masahiko Ozaki; Tomoya Inoue
Hybrid Physics-Based and Machine Learning Model with Interpretability and Uncertainty for Real-Time Estimation of Unmeasurable Parts
Available at SSRN: https://ssrn.com/abstract=4235365, Oct. 2022 - 金子達哉; 井上朝哉; 和田良太; 勝井辰博; 鈴木博善
Analytical and Numerical Investigation of the Contributing Factors of Drill Pipe Stick-Slip
日本船舶海洋工学会講演会論文集(CD-ROM), 2022
35 - 井上朝哉; 中川友進; 金子達哉; 和田良太; 三好啓介; 安部俊吾
Graph Attention Machine Learning Approach for Stuck Pipe Detection in Scientific Offshore Drilling
日本船舶海洋工学会講演会論文集(CD-ROM), 2022
35 - Tatsuya Kaneko; Ryota Wada; Masahiko Ozaki; Tomoya Inoue
Combining Physics-Based and Data-Driven Models for Estimation of WOB During Ultra-Deep Ocean Drilling
Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, Jun. 2018
8
[Reviewed]
Lead, Corresponding - 金子達哉; 波多裕平; 杉本圭; 段野貴士; MOSER Bryan R.; 尾崎雅彦; 和田良太; 稗方和夫
システムズアプローチを用いた海事クラスターの連携による課題解決に関する研究-PCCの需給問題に対する解決策の検討事例-
日本船舶海洋工学会講演会論文集(CD-ROM), 2018
27
