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  4. Generalization of algebraic multiscale to algebraic multigrid
 
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2020
Journal Article
Titel

Generalization of algebraic multiscale to algebraic multigrid

Abstract
Algebraic multiscale (AMS) is a recent development for the construction of efficient linear solvers in reservoir simulations. It employs upscaling ideas to coarsen the respective linear system and provides a high amount of inherent parallelism. However, it has the drawback that it can so far only be applied to scalar problems, e.g., a pressure sub-problem. Moreover, AMS relies on the availability of information on the physics and the grid to construct a two-level scheme. Generalizing the AMS approach to overcome these limitations requires substantial efforts and is not straightforward. To exploit the benefits of AMS, however, we integrate its core ideas in an algebraic multigrid (AMG) method. Thus, all results and techniques from the well-established AMG are directly available in conjunction with (core ingredients of) AMS. This holds regarding multilevel usage as well as the independence of geometric and physical information. But it also holds for the System-AMG approach that allows us to consider additional thermal and mechanical unknowns.
Author(s)
Ehrmann, Silvia
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Gries, Sebastian
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Schweitzer, Marc Alexander
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Zeitschrift
Computational geosciences
Konferenz
European Conference on the Mathematics of Oil Recovery (ECMOR) 2018
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DOI
10.1007/s10596-019-9826-0
Language
English
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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Tags
  • Linear solver

  • Algebraic multigrid

  • Multiscale methods

  • Algebraic multiscale

  • System-AMG

  • Iterative solver

  • reservoir simulation

  • geomechanics

  • big data

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