Su Jiang

All Publications

• Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models JOURNAL OF COMPUTATIONAL PHYSICS Jiang, S., Durlofsky, L. J. 2023; 474

  View details for DOI 10.1016/j.jcp.2022.111800

  View details for Web of Science ID 000893235700003

• Treatment of model error in subsurface flow history matching using a data-space method JOURNAL OF HYDROLOGY Jiang, S., Durlofsky, L. J. 2021; 603

  View details for DOI 10.1016/j.jhydrol.2021.127063

  View details for Web of Science ID 000731712100004

• Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS Jiang, S., Hui, M., Durlofsky, L. J. 2021; 7

  View details for DOI 10.3389/fams.2021.686754

  View details for Web of Science ID 000678509200001

• Data-space inversion using a recurrent autoencoder for time-series parameterization COMPUTATIONAL GEOSCIENCES Jiang, S., Durlofsky, L. J. 2020

  View details for DOI 10.1007/s10596-020-10014-1

  View details for Web of Science ID 000590498900001

• A data-space inversion procedure for well control optimization and closed-loop reservoir management Computational Geosciences Jiang, S., Sun, W., Durlofsky, L. J. 2019

  View details for DOI 10.1007/s10596-019-09853-4

• An adsorbed gas estimation model for shale gas reservoirs via statistical learning APPLIED ENERGY Chen, Y., Jiang, S., Zhang, D., Liu, C. 2017; 197: 327-341

  View details for DOI 10.1016/j.apenergy.2017.04.029

  View details for Web of Science ID 000401594300027

• A Data-Space Approach For Well Control Optimization Under Uncertainty ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery Jiang, S., Sun, W., Durlofsky, L. J. 2018

  View details for DOI 10.3997/2214-4609.201802227