2018
DOI: 10.1016/j.jcp.2017.10.052
|View full text |Cite
|
Sign up to set email alerts
|

Algebraic dynamic multilevel method for compositional flow in heterogeneous porous media

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
7
2

Relationship

3
6

Authors

Journals

citations
Cited by 30 publications
(14 citation statements)
references
References 40 publications
0
14
0
Order By: Relevance
“…which is a finite-volume restriction operator to assure mass conservation, i.e., 21Note that different interpolators are used for each variable (Cusini et al, 2018a;HosseiniMehr et al, 2018). The pressure prolongation operator uses fully-coupled multilevel multiscale basis functions, whereas the prolongation operator of fluid temperature uses constant interpolators, i.e.,…”
Section: Fg-adm Operatorsmentioning
confidence: 99%
“…which is a finite-volume restriction operator to assure mass conservation, i.e., 21Note that different interpolators are used for each variable (Cusini et al, 2018a;HosseiniMehr et al, 2018). The pressure prolongation operator uses fully-coupled multilevel multiscale basis functions, whereas the prolongation operator of fluid temperature uses constant interpolators, i.e.,…”
Section: Fg-adm Operatorsmentioning
confidence: 99%
“…The characteristics of this region are defined based on the Rankine-Hugoniot condition, see equ. (12). Finally, the region 3 refers to a fan characteristic (rarefaction), where the saturation changes are more continuous.…”
Section: Multiscale Reconstruction In Physicsmentioning
confidence: 99%
“…But most of the multi-scale methods are limited to the elliptic solution (global pressure or conductive temperature), without improving the hyperbolic part (saturation or composition). The only exception is the work by - [11] -where they used different operators for saturation reconstruction in the heuristic-driven front tracking and, [12] -where they used an adaptive mesh refinement based on an algebraic multi-scale.…”
Section: Introductionmentioning
confidence: 99%
“…The main two unknowns are pressure and saturation of the flooding phase. Once the fine-scale discretized system is obtained using pEDFM, it is mapped to a dynamic multilevel grid (i.e., ADM grid) which is constructed based on hierarchically nested and multilevel coarse grids [10], [11], [12]. The mapping process is done fully algebraically where sequences of restriction (R) and prolongation (P) operators are used to map across multiple coarsening levels.…”
Section: Introductionmentioning
confidence: 99%