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A note on variational multiscale methods for high-contrast heterogeneous porous media flows with rough source terms

机译:关于使用粗糙源项的高对比度非均质多孔介质流变分多尺度方法的注释

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摘要

In this short note, we discuss variational multiscale methods for solving porous media flows in high-contrast heterogeneous media with rough source terms. Our objective is to separate, as much as possible, subgrid effects induced by the media properties from those due to heterogeneous source terms. For this reason, enriched coarse spaces designed for high-contrast multiscale problems are used to represent the effects of heterogeneities of the media. Furthermore, rough source terms are captured via auxiliary correction equations that appear in the formulation of variational multiscale methods [23]. These auxiliary equations are localized and one can use additive or multiplicative constructions for the subgrid corrections as discussed in the current paper. Our preliminary numerical results show that one can capture the effects due to both spatial heterogeneities in the coefficients (such as permeability field) and source terms (e.g., due to singular well terms) in one iteration. We test the cases for both smooth source terms and rough source terms and show that with the multiplicative correction, the numerical approximations are more accurate compared to the additive correction.
机译:在本简短说明中,我们讨论了使用粗糙源项求解高对比度非均质介质中多孔介质流的变分多尺度方法。我们的目标是尽可能地将由媒体属性引起的亚网格效应与异类源项带来的影响分开。由于这个原因,为高对比度多尺度问题设计的丰富的粗糙空间被用来表示介质异质性的影响。此外,粗略的源项是通过在变分多尺度方法的公式中出现的辅助校正方程来捕获的[23]。这些辅助方程是局部的,可以使用加法或乘法结构进行子网格校正,如本文所述。我们的初步数值结果表明,在一次迭代中,可以捕获由于系数(例如渗透率场)和源项(例如由于奇异的井项)的空间异质性而引起的影响。我们测试了平滑源项和粗糙源项的情况,并表明与乘法校正相比,使用乘法校正,数值逼近更加准确。

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