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8 papers · 2 filters
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…
Machine learning for accelerating effective property prediction for poroelasticity problem in stochastic media
Maria Vasilyeva, Aleksey Tyrylgin
In this paper, we consider a numerical homogenization of the poroelasticity problem with stochastic properties. The proposed method based on the construction of the deep neural net…
Nonlinear nonlocal multicontinua upscaling framework and its applications
Wing T. Leung, Eric T. Chung, Yalchin Efendiev +1
In this paper, we discuss multiscale methods for nonlinear problems. The main idea of these approaches is to use local constraints and solve problems in oversampled regions for con…
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 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…
Convexification method for a coefficient inverse problem and its performance for experimental backscatter data for buried targets
Michael V. Klibanov, Aleksandr E. Kolesov, Dinh-Liem Nguyen
We present in this paper a novel numerical reconstruction method for solving a 3D coefficient inverse problem with scattering data generated by a single direction of the incident p…