Rchr
J-GLOBAL ID：202101015453832938
Update date: Apr. 03, 2024
Kaneko Tatsuya
カネコ タツヤ | Kaneko Tatsuya
Affiliation and department：
Research field (1)：
Marine and maritime engineering
Research theme for competitive and other funds (2)：
- 2023 - 2026 ドリルパイプ挙動の統合的表現と計測データ融合逐次解析への展開
- 2018 - 2019 超大水深掘削の動力学モデルとデータ駆動型手法を用いたリアルタイム孔底挙動推定
Papers (5)：
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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. 2023. 1-10
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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. 2023. 284. 115267-115267
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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. 2022. 261. 112123-112123
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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
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Ryota Wada, Tatsuya Kaneko, Masahiko Ozaki, Tomoya Inoue, Hidetaka Senga. Longitudinal natural vibration of ultra-long drill string during offshore drilling. Ocean Engineering. 2018. 156. 1-13
MISC (20)：
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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. Offshore Technology Conference Asia, OTCA 2024. 2024
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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. SPE - International Association of Drilling Contractors Drilling Conference Proceedings. 2024. 2024-March
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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. 2023. 9
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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. 2023. 9
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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. 2023. 2023-May
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Education (4)：
- 2018 - 2021 The University of Tokyo Graduate School of Frontier Sciences Department of Ocean Technology, Policy,and Environment
- 2016 - 2018 The University of Tokyo Graduate School of Frontier Sciences Department of Ocean Technology, Policy,and Environment
- 2014 - 2016 The University of Tokyo The Faculty of Engineering Department of Systems Innovation
- 2012 - 2014 The University of Tokyo College of Arts and Sciences
Work history (2)：
- 2022/04 - 現在 Japan Agency for Marine-Earth Science and Technology
- 2021/04 - 2022/03 The University of Tokyo Graduate School of Frontier Sciences Department of Ocean Technology, Policy,and Environment Project Researcher
Awards (3)：
- 2021/03 - 東京大学 新領域創成科学研究科長賞
- 2018/09 - The University of Tokyo Poster Presentation Award 1st Place at The 5th UTokyo-SJTU-KAIST Joint Academic Symposium
- 2016/03 - 日本機械学会 畠山賞
Association Membership(s) (1)：
The Japan Society of Naval Architects and Ocean Engineers
