
Su Jiang
Postdoctoral Scholar, Energy Resources Engineering
Professional Education
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Doctor of Philosophy, Stanford University, Energy Resources Engineering (2022)
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Master of Science, Stanford University, Energy Resources Engineering (2018)
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Bachelor of Engineering, Tsinghua University, Environmental Engineering (2016)
All Publications
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Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models
JOURNAL OF COMPUTATIONAL PHYSICS
2023; 474
View details for DOI 10.1016/j.jcp.2022.111800
View details for Web of Science ID 000893235700003
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Treatment of model error in subsurface flow history matching using a data-space method
JOURNAL OF HYDROLOGY
2021; 603
View details for DOI 10.1016/j.jhydrol.2021.127063
View details for Web of Science ID 000731712100004
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Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems
FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS
2021; 7
View details for DOI 10.3389/fams.2021.686754
View details for Web of Science ID 000678509200001
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Data-space inversion using a recurrent autoencoder for time-series parameterization
COMPUTATIONAL GEOSCIENCES
2020
View details for DOI 10.1007/s10596-020-10014-1
View details for Web of Science ID 000590498900001
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A data-space inversion procedure for well control optimization and closed-loop reservoir management
Computational Geosciences
2019
View details for DOI 10.1007/s10596-019-09853-4
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An adsorbed gas estimation model for shale gas reservoirs via statistical learning
APPLIED ENERGY
2017; 197: 327-341
View details for DOI 10.1016/j.apenergy.2017.04.029
View details for Web of Science ID 000401594300027
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A Data-Space Approach For Well Control Optimization Under Uncertainty
ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery
2018
View details for DOI 10.3997/2214-4609.201802227