Speeding up the flash calculations in two-phase compositional flow simulations - the application of sparse grids
From MaRDI portal
Publication:729051
DOI10.1016/J.JCP.2015.01.012zbMath1351.76227OpenAlexW2012095866MaRDI QIDQ729051
Christoph Kowitz, Amgad Salama, Shuyu Sun, Yuan-Qing Wu
Publication date: 20 December 2016
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2015.01.012
Related Items (7)
Comparison of modern heuristics on solving the phase stability testing problem ⋮ Fully implicit two-phase VT-flash compositional flow simulation enhanced by multilayer nonlinear elimination ⋮ A fully explicit and unconditionally energy-stable scheme for Peng-Robinson VT flash calculation based on dynamic modeling ⋮ Operator-based linearization approach for modeling of multiphase multi-component flow in porous media ⋮ A parallel sparse grid construction algorithm based on the shared memory architecture and its application to flash calculations ⋮ Accelerating flash calculation through deep learning methods ⋮ A self-adaptive deep learning algorithm for accelerating multi-component flash calculation
Uses Software
Cites Work
- Unnamed Item
- Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids
- Spatially adaptive sparse grids for high-dimensional data-driven problems
- Fouriertransform on sparse grids with hierarchical bases
- Adaptive sparse grid multilevel methods for elliptic PDEs based on finite differences
- Fourier transform on sparse grids: Code design and the time dependent Schrödinger equation
- A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
- Fast Discrete Fourier Transform on Generalized Sparse Grids
- Sparse grids
This page was built for publication: Speeding up the flash calculations in two-phase compositional flow simulations - the application of sparse grids