18 citations · 63 across the 15 of their papers we have counts for
7 papers · 1 filter
Generalized Multiscale Multicontinuum Model for Fractured Vuggy Carbonate Reservoirs
Min Wang, Siu Wun Cheung, Eric T. Chung +2
Simulating flow in a highly heterogeneous reservoir with multiscale characteristics could be considerably demanding. To tackle this problem, we propose a numerical scheme coupling…
Prediction of Discretization of GMsFEM using Deep Learning
Min Wang, Siu Wun Cheung, Eric T. Chung +3
In this paper, we propose a deep-learning-based approach to a class of multiscale problems. THe Generalized Multiscale Finite Element Method (GMsFEM) has been proven successful as…
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for dual continuum model
Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +2
The dual continuum model serves as a powerful tool in the modeling of subsurface applications. It allows a systematic coupling of various components of the solutions. The system is…
Nonlocal multicontinua upscaling for multicontinua flow problems in fractured porous media
Maria Vasilyeva, Eric T. Chung, Siu Wun Cheung +2
Our goal of this paper is to develop a new upscaling method for multicontinua flow problems in fractured porous media. We consider a system of equations that describes flow phenome…
Deep Global Model Reduction Learning in Porous Media Flow Simulation
Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +3
In this paper, we combine deep learning concepts and some proper orthogonal decomposition (POD) model reduction methods for predicting flow in heterogeneous porous media. Nonlinear…
An embedded SDG method for the convection-diffusion equation
Siu Wun Cheung, Eric T. Chung
In this paper, we present an embedded staggered discontinuous Galerkin method for the convection-diffusion equation. The new method combines the advantages of staggered discontinuo…
Deep Multiscale Model Learning
Yating Wang, Siu Wun Cheung, Eric T. Chung +2
The objective of this paper is to design novel multi-layer neural network architectures for multiscale simulations of flows taking into account the observed data and physical model…