Application of a parallel CPR-preconditioner to the filtration problem for a viscous compressible fluid in a porous medium

Authors

  • K.Yu. Bogachev
  • I.G. Gorelov

Keywords:

linear systems
preconditioner
fluid filtration
implicit difference schemes
parallel computing

Abstract

Application of a parallel CPR-preconditioner to the filtration problem for a viscous compressible fluid in a porous medium The filtration problem for a viscous compressible multiphase fluid mixture in a porous medium is considered in the case of parallel computers. A CPR-preconditioner is discussed for a linear system obtained as a result of spatial discretization of an implicit difference scheme followed by the use of Newton’s method to solve nonlinear systems. The efficiency and scalability are compared for the case of CPR- and ILU(0)-preconditioners in relation to the number of processors on the basis of realistic problems. Keywords: linear systems, preconditioner, fluid filtration, implicit difference schemes, parallel computing


Published

2008-06-17

Issue

Section

Section 1. Numerical methods and applications

Author Biographies

K.Yu. Bogachev

I.G. Gorelov


References

  1. Wallis J.R. Incomplete Gaussian elimination as a preconditioning for generalized conjugate gradient acceleration // Proc. of the 1983 SPE Symposium on Reservoir Simulation. San Francisco, 1983. SPE 12265.
  2. Wallis J.R., Kendall R.P., Little T.E. Constraint residual acceleration of conjugate residual methods // Proc. of the 1985 SPE Symposium on Reservoir Simulation. Dallas, 1985. SPE 13536.
  3. Durlofsky L.J., Aziz K. Advanced techniques for reservoir simulation and modeling of nonconventional wells. Report to US Department of Energy, Stanford University. Stanford, 2004.
  4. Stuben K., Clees T., Klie H., Lu B., Weeler M.F. Algebraic multigrid methods (AMG) for the efficient solution of fully implicit formulations in reservoir simulation // Proc. of the 2007 SPE Symposium on Reservoir Simulation. Houston, 2007. SPE 105832.
  5. Stuben K. Algebraic multigrid (AMG): experiences and comparisons // Proc. of the Int. Multigrid Conference. Copper Mountain, 1983.
  6. Wagner C. Introduction to algebraic multigrid. Course Notes. University of Heidelberg. Heidelberg, 1999.
  7. Saad Y. Iterative methods for sparse linear systems. Philadelphia: SIAM, 2003.
  8. Aziz K., Settari A. Petroleum reservoir simulation. London: Applied Science Publishers, 1979.