Todd Arbogast
University of Texas at Austin
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Todd Arbogast.
Siam Journal on Mathematical Analysis | 1990
Todd Arbogast; Jim Douglas; Ulrich Hornung
A general form of the double porosity model of single phase flow in a naturally fractured reservoir is derived from homogenization theory. The microscopic model consists of the usual equations describing Darcy flow in a reservoir, except that the porosity and permeability coefficients are highly discontinuous. Over the matrix domain, the coefficients are scaled by a parameter
SIAM Journal on Numerical Analysis | 1997
Todd Arbogast; Mary F. Wheeler; Ivan Yotov
\epsilon
SIAM Journal on Numerical Analysis | 1995
Todd Arbogast; Mary F. Wheeler
representing the size of the matrix blocks. This scaling preserves the physics of the flow in the matrix as
Computational Geosciences | 2002
Todd Arbogast
\epsilon
SIAM Journal on Numerical Analysis | 2000
Todd Arbogast; Lawrence C. Cowsar; Mary F. Wheeler; Ivan Yotov
tends to zero. An effective macroscopic limit model is obtained that includes the usual Darcy equations in the matrix blocks and a similar equation for the fracture system that contains a term representing a source of fluid from the matrix. The convergence is shown by extracting weak limits in appropriate Hilbert spaces. A dilation operator is utilized to see the otherwise vanishing physics in the matrix blocks as
Multiscale Modeling & Simulation | 2007
Todd Arbogast; Gergina Pencheva; Mary F. Wheeler; Ivan Yotov
\epsilon
SIAM Journal on Numerical Analysis | 1996
Todd Arbogast; Mary F. Wheeler; Nai-Ying Zhang
tends to zero.
Mathematics of Computation | 1995
Todd Arbogast; Zhangxin Chen
We present an expanded mixed finite element approximation of second-order elliptic problems containing a tensor coefficient. The mixed method is expanded in the sense that three variables are explicitly approximated, namely, the scalar unknown, the negative of its gradient, and its flux (the tensor coefficient times the negative gradient). The resulting linear system is a saddle point problem. In the case of the lowest order Raviart--Thomas elements on rectangular parallelepipeds, we approximate this expanded mixed method by incorporating certain quadrature rules. This enables us to write the system as a simple, cell-centered finite difference method requiring the solution of a sparse, positive semidefinite linear system for the scalar unknown. For a general tensor coefficient, the sparsity pattern for the scalar unknown is a 9-point stencil in two dimensions and 19 points in three dimensions. Existing theory shows that the expanded mixed method gives optimal order approximations in the
Archive | 2000
Todd Arbogast
L^2
Nonlinear Analysis-theory Methods & Applications | 1992
Todd Arbogast
- and