Analysis of fully discrete FEM for miscible displacement in porous media with Bear–Scheidegger diffusion tensor

Wentao Cai, Buyang Li, Yanping Lin, Weiwei Sun*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

Fully discrete Galerkin finite element methods are studied for the equations of miscible displacement in porous media with the commonly-used Bear–Scheidegger diffusion–dispersion tensor: D(u)=γdmI+|u|(αTI+(αL-αT)uu|u|2). Previous works on optimal-order L (0 , T; L2)-norm error estimate required the regularity assumption ∇xt D(u(x, t)) ∈ L (0 , T; L (Ω)), while the Bear–Scheidegger diffusion–dispersion tensor is only Lipschitz continuous even for a smooth velocity field u. In terms of the maximal Lp-regularity of fully discrete finite element solutions of parabolic equations, optimal error estimate in Lp (0 , T; Lq)-norm and almost optimal error estimate in L (0 , T; Lq)-norm are established under the assumption of D(u) being Lipschitz continuous with respect to u.
Original languageEnglish
Pages (from-to)1009-1042
JournalNumerische Mathematik
Volume141
Issue number4
Online published28 Feb 2019
DOIs
Publication statusPublished - Apr 2019

Funding

Wentao Cai: The research of this author was supported in part by a Hong Kong RGC Grant (15301818). Buyang Li: The research of this author was supported in part by an internal grant of The Hong Kong Polytechnic University (project code 1-ZE6L) and a Hong Kong RGC Grant (15301818). Yanping Lin: The research of this author was supported in part by a Hong Kong RGC Grant (15302418). Weiwei Sun: The research of this author was supported in part by the Zhujiang Scholar program, a grant from South China Normal University and a Hong Kong RGC Grant (CityU 11300517).

Fingerprint

Dive into the research topics of 'Analysis of fully discrete FEM for miscible displacement in porous media with Bear–Scheidegger diffusion tensor'. Together they form a unique fingerprint.

Cite this