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Tomoya Inoue
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Proceedings Papers

Analytical and Numerical Study on Drill-String Torsional Vibration Under Weight-On-Bit Fluctuation

Tatsuya Kaneko, Tomoya Inoue, Ryota Wada, Tokihiro Katsui, Hiroyoshi Suzuki
Proc. ASME. OMAE2024, Volume 8: Offshore Geotechnics; Petroleum Technology, V008T11A004, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-125722
https://doi.org/10.1115/OMAE2024-125722
View Paper titled, Analytical and Numerical Study on Drill-String Torsional Vibration Under Weight-On-Bit Fluctuation
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Topics: Drill strings, Underwater drilling, Vibration, Weight (Mass)
Proceedings Papers

A Novel Approach of Data Science Incorporating Physical Knowledge for Early Stuck Pipe Detection

Tomoya Inoue, Tatsuya Kaneko, Yujin Nakagawa, Ryota Wada, Shungo Abe, Gota Yasutake
Proc. ASME. OMAE2024, Volume 8: Offshore Geotechnics; Petroleum Technology, V008T11A022, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-125728
https://doi.org/10.1115/OMAE2024-125728
View Paper titled, A Novel Approach of Data Science Incorporating Physical Knowledge for Early Stuck Pipe Detection
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Topics: Pipes
Proceedings Papers

Analytical, Numerical, and Field Data Investigation for Deriving the Condition of Stick-Slip Drill String Vibration

Tatsuya Kaneko, Tomoya Inoue, Ryota Wada, Tokihiro Katsui, Hiroyoshi Suzuki
Proc. ASME. OMAE2023, Volume 9: Offshore Geotechnics; Petroleum Technology, V009T11A047, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-102439
https://doi.org/10.1115/OMAE2023-102439
View Paper titled, Analytical, Numerical, and Field Data Investigation for Deriving the Condition of Stick-Slip Drill String Vibration
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Topics: Drill strings, Stick-slip, Vibration
Proceedings Papers

Early Stuck Pipe Detection Using Graph Attention Machine Learning

Tomoya Inoue, Yujin Nakagawa, Tatsuya Kaneko, Ryota Wada, Keisuke Miyoshi, Shungo Abe
Proc. ASME. OMAE2023, Volume 9: Offshore Geotechnics; Petroleum Technology, V009T11A004, June 11–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2023-101928
https://doi.org/10.1115/OMAE2023-101928
View Paper titled, Early Stuck Pipe Detection Using Graph Attention Machine Learning
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Topics: Machine learning, Pipes
Journal Articles

Effect of Channel Size on Air-Cooling Performance in Interior Permanent Magnet Motor Driving Aviation Fans at High Altitude

Yu Ito, Toshinori Watanabe, Naoki Seki, Karin Hirakawa, Tomoya Inoue, Takehiro Himeno
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2023, 145(4): 041016.
Paper No: GTP-22-1453
https://doi.org/10.1115/1.4055980
Published Online: December 13, 2022
View Article titled, Effect of Channel Size on Air-Cooling Performance in Interior Permanent Magnet Motor Driving Aviation Fans at High Altitude
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Topics: Cooling, Engines, Heat exchangers, Heat transfer, Motors, Permanent magnets, Pressure, Rotors, Stators, Temperature
Proceedings Papers

Effect of Channel Size on Air-Cooling Performance in Interior Permanent Magnet (IPM) Motor Driving Aviation Fans at High Altitude

Yu Ito, Toshinori Watanabe, Naoki Seki, Karin Hirakawa, Tomoya Inoue, Takehiro Himeno
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A004, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-79379
https://doi.org/10.1115/GT2022-79379
View Paper titled, Effect of Channel Size on Air-Cooling Performance in Interior Permanent Magnet (IPM) Motor Driving Aviation Fans at High Altitude
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Topics: Aviation, Cooling, Engines, Fans, Motors, Permanent magnets, Propulsion
Proceedings Papers

Attempt of Early Stuck Detection Using Unsupervised Deep Learning With Probability Mixture Model

Tomoya Inoue, Yujin Nakagawa, Ryota Wada, Keisuke Miyoshi, Shungo Abe, Kouhei Kuroda, Hitoshi Tamamura, Hakan Bilen
Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A004, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62739
https://doi.org/10.1115/OMAE2021-62739
View Paper titled, Attempt of Early Stuck Detection Using Unsupervised Deep Learning With Probability Mixture Model
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Topics: Machine learning, Pipes, Probability, Drilling, Artificial neural networks, Countermeasures, Support vector machines, Wells
Proceedings Papers

Attempt of a Real-Time Drilling State Identification With Machine Learning

Tomoya Inoue, Junya Ishiwata, Ryota Wada, Junichiro Tahara
Proc. ASME. OMAE2020, Volume 11: Petroleum Technology, V011T11A026, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-19169
https://doi.org/10.1115/OMAE2020-19169
View Paper titled, Attempt of a Real-Time Drilling State Identification With Machine Learning
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Topics: Drilling, Machine learning
Proceedings Papers

The Characteristics of Numerical Solution of NDDE to Solve the Drill Pipe Stick-Slip

Tokihiro Katsui, Tomoya Inoue, Daisuke Sogawa, Yusuke Notani
Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A008, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95883
https://doi.org/10.1115/OMAE2019-95883
View Paper titled, The Characteristics of Numerical Solution of NDDE to Solve the Drill Pipe Stick-Slip
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Topics: Drills (Tools), Pipes, Stick-slip, Bits (Tools), Torque, Computer simulation, Drilling, Delay differential equations, Rotation
Proceedings Papers

Experimental and Numerical Study of Motion of Rotating Drill Pipe Owing to Magnus Effect

Tomoya Inoue, Hiroyoshi Suzuki, Tokihiro Katsui, Keita Tsuchiya, Yusuke Notani
Proc. ASME. OMAE2019, Volume 9: Rodney Eatock Taylor Honoring Symposium on Marine and Offshore Hydrodynamics; Takeshi Kinoshita Honoring Symposium on Offshore Technology, V009T13A049, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-96602
https://doi.org/10.1115/OMAE2019-96602
View Paper titled, Experimental and Numerical Study of Motion of Rotating Drill Pipe Owing to Magnus Effect
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Topics: Drills (Tools), Magnus effect, Pipes
Proceedings Papers

Fatigue Evaluation of Drill Pipes for Scientific Drilling Program by Applying Non-Stop Driller Concept

Tomoya Inoue, Masahiko Fujikubo, Kenji Nakano, Noriaki Sakurai
Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A009, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95896
https://doi.org/10.1115/OMAE2019-95896
View Paper titled, Fatigue Evaluation of Drill Pipes for Scientific Drilling Program by Applying Non-Stop Driller Concept
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Topics: Drilling, Drills (Tools), Fatigue, Pipes
Proceedings Papers

A Fatigue Assessment Procedure for Drilling Pipes of Scientific Vessels

Martina Aguiari, Cesare Mario Rizzo, Tomoya Inoue
Proc. ASME. OMAE2019, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A011, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-96639
https://doi.org/10.1115/OMAE2019-96639
View Paper titled, A Fatigue Assessment Procedure for Drilling Pipes of Scientific Vessels
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Topics: Drilling, Drills (Tools), Failure, Fatigue, Pipes, Seas, Vessels
Proceedings Papers

Machine Learning Approaches to Anomaly Detection of Top Drive Torque Causing Drill Pipe Failure

Tomoya Inoue, Daisuke Sugiyama, Takayuki Shimotomai
Proc. ASME. OMAE2018, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A006, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-77882
https://doi.org/10.1115/OMAE2018-77882
View Paper titled, Machine Learning Approaches to Anomaly Detection of Top Drive Torque Causing Drill Pipe Failure
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Topics: Drills (Tools), Failure, Machine learning, Pipes, Torque, Drilling, Damage, Algorithms, Drillships, Engineering simulation
Proceedings Papers

Combining Physics-Based and Data-Driven Models for Estimation of WOB During Ultra-Deep Ocean Drilling

Tatsuya Kaneko, Ryota Wada, Masahiko Ozaki, Tomoya Inoue
Proc. ASME. OMAE2018, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A007, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78229
https://doi.org/10.1115/OMAE2018-78229
View Paper titled, Combining Physics-Based and Data-Driven Models for Estimation of WOB During Ultra-Deep Ocean Drilling
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Topics: Physics, Underwater drilling, Drill strings, Drilling, Tension, Annulus, Artificial neural networks, Computer simulation, Displacement, Drills (Tools)
Proceedings Papers

Considerations on Numerical Procedure for Stick-Slip Analysis of Drill String

Tokihiro Katsui, Tomoya Inoue, Kenta Izutani, Yuhi Nagaishi, Chang-Kyu Rheem, Miki Y. Matsuo
Proc. ASME. OMAE2017, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A013, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-62158
https://doi.org/10.1115/OMAE2017-62158
View Paper titled, Considerations on Numerical Procedure for Stick-Slip Analysis of Drill String
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Topics: Drill strings, Stick-slip, Drilling, Drills (Tools), Pipes, Bits (Tools), Sediments, Torque, Computer simulation, Damage
Proceedings Papers

Numerical Simulation of Motion of Rotating Drill Pipe due to Magnus Effect in Riserless Drilling

Tomoya Inoue, Hiroyoshi Suzuki, Thaw Tar, Hidetaka Senga, Kazuyasu Wada, Miki Y. Matsuo
Proc. ASME. OMAE2017, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A014, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-62327
https://doi.org/10.1115/OMAE2017-62327
View Paper titled, Numerical Simulation of Motion of Rotating Drill Pipe due to Magnus Effect in Riserless Drilling
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Topics: Computer simulation, Drilling, Drills (Tools), Magnus effect, Pipes, Drag (Fluid dynamics), Computational fluid dynamics, Ocean currents, Cables, Critical phenomena (Physics)
Proceedings Papers

Mathematical Analysis of Possible Range of Stable Drilling in Offshore Riserless Drilling System

Miki Y. Matsuo, Tomoya Inoue, Hide Sakaguchi
Proc. ASME. OMAE2017, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A015, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-62337
https://doi.org/10.1115/OMAE2017-62337
View Paper titled, Mathematical Analysis of Possible Range of Stable Drilling in Offshore Riserless Drilling System
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Topics: Drilling, Mathematical analysis, Ocean engineering, Drills (Tools), Pipes, Buckling, Accidents, Dynamics (Mechanics), Fluctuations (Physics), Seas
Proceedings Papers

Estimation of Stick-Slip Characteristics by Simulation With Actual Drilling Data

Tomoya Inoue, Tokihiro Katsui, Junya Ishiwata, Miki Y. Matsuo, C. K. Rheem
Proc. ASME. OMAE2016, Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, V008T11A041, June 19–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2016-54319
https://doi.org/10.1115/OMAE2016-54319
View Paper titled, Estimation of Stick-Slip Characteristics by Simulation With Actual Drilling Data
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Topics: Drilling, Simulation, Stick-slip, Bits (Tools), Torque, Vessels, Damage, Grinding, Sediments, Underwater drilling
Proceedings Papers

Utilization of Surface Drilling Data for Estimation of Sediment Properties in Scientific Drilling of Tohoku Earthquake Zone

Tomoya Inoue, Tokihiro Katsui, Kohtaro Ujiie, Junya Ishiwata
Proc. ASME. OMAE2015, Volume 1: Offshore Technology; Offshore Geotechnics, V001T10A018, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-41750
https://doi.org/10.1115/OMAE2015-41750
View Paper titled, Utilization of Surface Drilling Data for Estimation of Sediment Properties in Scientific Drilling of Tohoku Earthquake Zone
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Topics: Drilling, Earthquakes, Sediments, Seabed, Shear stress, Seas, Surface roughness, Temperature sensors, Torque, Tsunamis
Proceedings Papers

Experimental Investigation of the Stick-Slip Phenomena of the Drill Pipe

Tokihiro Katsui, Yoshitomo Mogi, Tomoya Inoue, Chang-Kyu Rheem, Miki Y. Matsuo
Proc. ASME. OMAE2015, Volume 1: Offshore Technology; Offshore Geotechnics, V001T10A019, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-41877
https://doi.org/10.1115/OMAE2015-41877
View Paper titled, Experimental Investigation of the Stick-Slip Phenomena of the Drill Pipe
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Topics: Drills (Tools), Pipes, Stick-slip, Torque, Bits (Tools), Errors, Weight (Mass), Boundary-value problems, Computer simulation, Convection