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Technical session

V. Data-based Simulations and Machine Learning

1-10-2

2023年7月10日(月) 14:40 〜 16:40 講演室 10 (10F 1009)

Chair:Koji Fukagata(Keio University)

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14:40 〜 15:00

[1-10-2-01] Enabling Physics-Based Artificial Intelligence for Applications with Fluid and Thermal Transport Phenomena

*Isaac Perez-Raya¹ (1. Rochester Institute of Technology)

15:00 〜 15:20

[1-10-2-02] Intelligent Monitoring of Overflow Risk Based on Wellhead Flow Data Analysis During Oil and Gas Drilling

Zhaopeng Zhu¹, *Detao Zhou¹, Xianzhi Song¹, Gensheng Li¹, Mengmeng Zhou¹, Bin Wang¹, Lin Zhu¹ (1. China University of Petroleum (Beijing))

15:20 〜 15:40

[1-10-2-03] Analyzing hydrogen flow behavior based on deep learning sensor selection optimization framework – A McKee reservoir study

*Klemens Katterbauer¹, Abdulaziz Al¹, Abdallah Al Shehri¹, Ali Yousif¹ (1. Saudi Aramco)

15:40 〜 16:00

[1-10-2-04] Deep learning cost-efficient framework for static fluid-structure interaction analysis of hydrofoil

Jian Xu¹, *longyan wang¹, Jianping Yuan¹ (1. Jiangsu Univ.)

16:00 〜 16:20

[1-10-2-05] Unavailable parameters prediction based on velocity fields of turbulent flows using Deep learning

*Linqi Yu¹, Mustafa Z. YOUSIF^1,2, HeeChang LIM¹ (1. Pusan national university, 2. LSTME)

16:20 〜 16:40

[1-10-2-06] Deep Reinforcement Learning for the Optimization of the Sensor Position of V-control

*Yonosuke Ofuchi¹, Kie Okabayashi¹ (1. Osaka University)

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