数学物理学报(英文版) ›› 1998, Vol. 18 ›› Issue (S1): 5-15.

• 论文 • 上一篇    下一篇

DOMAIN DECOMPOSITION ALGORITHM FOR TWO PHASE DISPLACEMENT PROBLEM IN POROUS MEDIA

芮洪兴   

  1. Dopartment of Mathematics, shandogn Uuirersity, Jinan 250100, China
  • 收稿日期:1998-05-26 出版日期:1998-12-31 发布日期:1998-12-31
  • 基金资助:
    This work is supported by National NaturisJ Science Foundation of China and Shandong Province

DOMAIN DECOMPOSITION ALGORITHM FOR TWO PHASE DISPLACEMENT PROBLEM IN POROUS MEDIA

Rui Bongxing   

  1. Dopartment of Mathematics, shandogn Uuirersity, Jinan 250100, China
  • Received:1998-05-26 Online:1998-12-31 Published:1998-12-31
  • Supported by:
    This work is supported by National NaturisJ Science Foundation of China and Shandong Province

摘要: This paper considers the uumerical method and error analyses for two phase incompresaible miscible displacement in porous media.A time-stepping procedure is introduced using Sckwarz domain decomposition algorithm with eded element for the pressure equation and with finite dement for concentration equation. The author has analysed the relationship between convergence rates and discretization parameters,optimal order error estimates are derived under certain constraintes about the discretisation parameters.It is shown that the constraintes can be satisfied by the natural choices of these parameters.

关键词: Scharz algorithm, convergence analyses, error estimates

Abstract: This paper considers the uumerical method and error analyses for two phase incompresaible miscible displacement in porous media.A time-stepping procedure is introduced using Sckwarz domain decomposition algorithm with eded element for the pressure equation and with finite dement for concentration equation. The author has analysed the relationship between convergence rates and discretization parameters,optimal order error estimates are derived under certain constraintes about the discretisation parameters.It is shown that the constraintes can be satisfied by the natural choices of these parameters.

Key words: Scharz algorithm, convergence analyses, error estimates