• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Pore-scale modelling of chemically induced effects on two-phase flow
 
  • Details
  • Full
Options
2010
Conference Paper
Title

Pore-scale modelling of chemically induced effects on two-phase flow

Abstract
We present a finite element-finite volume simulation method for modelling fluid flow and solute transport accompanied by chemical reactions in experimentally obtained 3D pore geometries. We solve the stationary Stokes equation on the computational domain with the FE method using the same set of nodes and the same order of basis functions for both velocity and pressure. The resulting linear system is solved by employing the algebraic multigrid library SAMG. To simulate large 3D samples we partition them into subdomains and treat each separately on a different computing node. This approach allows us to use meshes with millions of elements as input geometries without facing limitations in computer resources. We apply this method in a proof-of-concept study of a digitized Fontainebleau sandstone sample. We use the calculated velocity profile with the finite volume procedure to simulate pore-scale solute transport and diffusion. This allows us to demonstrate the correct emer ging behaviour of sample s hydrodynamic dispersivity. Finally, we model the transport of an adsorbing solute and the surface coverage dynamics is demonstrated. This information can be used to estimate the local change of a sample wettability state and the ensuing changes of the two-phase flow characteristics.
Author(s)
Zaretskiy, Y.
Geiger, S.
Sorbie, K.
Foerster, M.
Mainwork
ECMOR XII, 12th European Conference on the Mathematics of Oil Recovery. CD-ROM  
Conference
European Conference on the Mathematics of Oil Recovery (ECMOR) 2010  
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024