Haoyu Tang

20192020202120222023202413 18 15 23 19 11

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Dongxiao ZhangPeking UniversityVerified email at pku.edu.cn
Tianhao WuEastern Institute of Technology (EIT), NingboVerified email at rice.edu
Qihan XuanPh.D., Mechanical Engineering, JHUVerified email at jhu.edu
Junliang ZhaoPeking UniversityVerified email at pku.edu.cn
Louis DurlofskyProfessor of Energy Science and Engineering, Stanford UniversityVerified email at stanford.edu
Cheng DaiSINOPEC GroupVerified email at sinopec.com
Sanbai LiCentral South UniversityVerified email at csu.edu.cn
Hamdi TchelepiProfessor of Energy Science and Engineering, Stanford UniversityVerified email at stanford.edu
Oleg VolkovSenior Research Scientist, Stanford UniversityVerified email at stanford.edu
Wennan LongStanford UniversityVerified email at stanford.edu

Haoyu Tang

PhD of Energy Science and Engineering, Stanford University

Verified email at stanford.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multiscale approach for mechanical characterization of organic-rich shale and its application J Zhao, D Zhang, T Wu, H Tang, Q Xuan, Z Jiang, C Dai International Journal of Geomechanics 19 (1), 04018180, 2019	42	2019
The effect of heterogeneity on hydraulic fracturing in shale H Tang, S Li, D Zhang Journal of Petroleum Science and Engineering 162, 292-308, 2018	40	2018
Use of low-fidelity models with machine-learning error correction for well placement optimization H Tang, LJ Durlofsky Computational Geosciences 26 (5), 1189-1206, 2022	12	2022
Reduced-Order Modeling in a General Reservoir Simulation Setting H Tang, O Volkov, HA Tchelepi, LJ Durlofsky SPE Western Regional Meeting, D021S008R001, 2021	4	2021
Multiscale approach to mechanical characterization of shale D Zhang, J Zhao, T Wu, H Tang, Q Xuan, Z Jiang Poromechanics VI, 1474-1481, 2017	1	2017
Graph Network Surrogate Model for Subsurface Flow Optimization H Tang, LJ Durlofsky arXiv preprint arXiv:2312.08625, 2023		2023
A Graph Neural Network Framework for Grid-Based Simulation H Tang, W Long arXiv preprint arXiv:2202.02652, 2022		2022

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