10 citations · 36 across the 17 of their papers we have counts for
17 papers
CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems
Jing Yue, Jian Li, Wen Zhang
In this article, we present an efficient deep learning method called coupled deep neural networks (CDNNs) for coupled physical problems. Our method compiles the interface condition…
Electrical Conductivity of Nanoscale Hydrophobic Porous Media: Surface Charge Density and Heterogeneous Pore Structure
Zhongliang Chen, Xiaohu Dong, Zhangxin Chen +1
Electrical conductivity is an inherent property of a hydrophobic porous media (HPM) and has critical applications. This research aims to provide a solution for predicting the elect…
Generalized multiscale approximation of a multipoint flux mixed finite element method for Darcy-Forchheimer model
Zhengkang He, Eric T. Chung, Jie Chen +1
In this paper, we propose a multiscale method for the Darcy-Forchheimer model in highly heterogeneous porous media. The problem is solved in the framework of generalized multiscale…
Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination
Zhengkang He, Eric T. Chung, Jie Chen +1
In this paper, we propose offline and online adaptive enrichment algorithms for the generalized multiscale approximation of a mixed finite element method with velocity elimination…
A Scalable Thermal Reservoir Simulator for Giant Models on Parallel Computers
Hui Liu, Zhangxin Chen
This paper introduces the model, numerical methods, algorithms and parallel implementation of a thermal reservoir simulator that designed for numerical simulations of thermal reser…
A New In-Situ Combustion Simulator for Parallel Computers
Ruijian He, Bo Yang, Hui Liu +1
As a competitive recovery method for heavy oil, In-Situ Combustion (ISC) shows its great potential accompanied by technological advances in recent years. Reservoir simulation will…
Numerical Simulation of Two-phase Flow in Natural Fractured Reservoirs Using Dual Porosity Method on Parallel Computers
Lihua Shen, Tao Cui, Hui Liu +6
The two-phase oil-water flow in natural fractured reservoirs and its numerical methods are introduced in this paper, where the fracture is modeled by the dual porosity method. Effi…
Numerical Simulations of Polymer Flooding Process in Porous Media on Distributed-memory Parallel Computers
He Zhong, Hui Liu, Tao Cui +4
Polymer flooding is a mature enhanced oil recovery technique that has been successfully applied in many field projects. By injecting polymer into a reservoir, the viscosity of wate…
Load Balancing using Hilbert Space-filling Curves for Parallel Reservoir Simulations
Hui Liu, Kun Wang, Bo Yang +5
The goal of load balancing (grid partitioning) is to minimize overall computations and communications, and to make sure that all processors have a similar workload. Geometric metho…
Decoupled Block-Wise ILU(k) Preconditioner on GPU
Bo Yang, Hui Liu, He Zhong +1
This research investigates the implementation mechanism of block-wise ILU(k) preconditioner on GPU. The block-wise ILU(k) algorithm requires both the level k and the block size to…
A Parallel Simulator for Massive Reservoir Models Utilizing Distributed-Memory Parallel Systems
Hui Liu, Lihua Shen, Yan Chen +3
This paper presents our work on developing parallel computational methods for two-phase flow on modern parallel computers, where techniques for linear solvers and nonlinear methods…
Scalable linear solvers for sparse linear systems from large-scale numerical simulations
Hui Liu, Zhangxin Chen
This paper presents our work on designing scalable linear solvers for large-scale reservoir simulations. The main objective is to support implementation of parallel reservoir simul…
Large-scale Reservoir Simulations on IBM Blue Gene/Q
Hui Liu, Kun Wang, Zhangxin Chen
This paper presents our work on simulation of large-scale reservoir models on IBM Blue Gene/Q and studying the scalability of our parallel reservoir simulators. An in-house black o…
Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs
Bo Yang, Hui Liu, Zhangxin Chen
This research introduce our work on developing Krylov subspace and AMG solvers on NVIDIA GPUs. As SpMV is a crucial part for these iterative methods, SpMV algorithms for single GPU…
Parallel Triangular Solvers on GPU
Zhangxin Chen, Hui Liu, Bo Yang
In this paper, we investigate GPU based parallel triangular solvers systematically. The parallel triangular solvers are fundamental to incomplete LU factorization family preconditi…
Numerical Simulation of Multi-phase Flow in Porous Media on Parallel Computers
Hui Liu, Lihua Shen, Kun Wang +2
A parallel reservoir simulator has been developed, which is designed for large-scale black oil simulations. It handles three phases, including water, oil and gas, and three compone…
Development of A Scalable Platform for Large-scale Reservoir Simulations on Parallel computers
Hui Liu, Kun Wang, Bo Yang +1
This paper presents our work on designing a parallel platform for large-scale reservoir simulations. Detailed components, such as grid and linear solver, and data structures are in…