Rchr
J-GLOBAL ID：202101015453832938
Update date: Oct. 01, 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 (23)：
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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. Volume 8: Offshore Geotechnics; Petroleum Technology. 2024
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Tatsuya Kaneko, Tomoya Inoue, Ryota Wada, Tokihiro Katsui, Hiroyoshi Suzuki. Analytical and Numerical Study on Drill-String Torsional Vibration Under Weight-On-Bit Fluctuation. Volume 8: Offshore Geotechnics; Petroleum Technology. 2024
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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). 2024. 38
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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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Patents (1)：
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
