71 citations · 137 across the 4 of their papers we have counts for
4 papers
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Jian Li, Dongxiao Zhang, Tianhao He +1
Uncertainty quantification (UQ) of subsurface two-phase flow usually requires numerous executions of forward simulations under varying conditions. In this work, a novel coupled the…
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization
Jiangjiang Zhang, Qiang Zheng, Laosheng Wu +1
Ensemble smoother (ES) has been widely used in various research fields to reduce the uncertainty of the system-of-interest. However, the commonly-adopted ES method that employs the…
Physics-informed semantic inpainting: Application to geostatistical modeling
Qiang Zheng, Lingzao Zeng, Zhendan Cao +1
A fundamental problem in geostatistical modeling is to infer the heterogeneous geological field based on limited measurements and some prior spatial statistics. Semantic inpainting…
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error
Jiangjiang Zhang, Qiang Zheng, Dingjiang Chen +2
Bayesian inverse modeling is important for a better understanding of hydrological processes. However, this approach can be computationally demanding, as it usually requires a large…