Multiscale Mixed Methods with Improved Accuracy: The Role of Oversampling and Smoothing
Dilong Zhou, Rafael Guiraldello, Felipe Pereira

TL;DR
This paper introduces an improved multiscale mixed method with overlapping subdomains and smoothing steps, significantly boosting flux accuracy in heterogeneous subsurface flow simulations while maintaining computational efficiency.
Contribution
The study presents a novel multiscale mixed method using overlapping regions and smoothing to enhance flux accuracy without increasing computational cost.
Findings
Achieves two orders of magnitude improvement in flux accuracy.
Maintains computational cost close to traditional methods.
Effective for industry-relevant heterogeneous flow problems.
Abstract
Multiscale mixed methods based on non-overlapping domain decompositions can efficiently handle the solution of significant subsurface flow problems in very heterogeneous formations of interest to the industry, especially when implemented on multi-core supercomputers. Efficiency in obtaining numerical solutions is dictated by the choice of interface spaces that are selected: the smaller the dimension of these spaces, the better, in the sense that fewer multiscale basis functions need to be computed, and smaller interface linear systems need to be solved. Thus, in solving large computational problems, it is desirable to work with piecewise constant or linear polynomials for interface spaces. However, for these choices of interface spaces, it is well known that the flux accuracy is of the order of 10-1. This study is dedicated to advancing an efficient and accurate multiscale mixed method…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics
