The use of limited global information in multiscale simulations is needed when there is no scale separation. Previous approaches entail fine-scale simulations in the computation of the global information. The computation of the global information is expensive. In this paper, we propose the use of approximate global information based on partial upscaling. A requirement for partial homogenization...

This paper asks how the benefits of municipal amalgamations compare to the costs thereof. It answers this research question by comparing the postwar experiences with such consolidation in a variety of OECD countries. First, this paper argues that nowadays upscaling local and regional government is popular. Many Western countries have plans to upscale local government or have already implemented...

We propose a new single-phase local transmissibility upscaling method for adapted grids in 3D domains that uses spatially varying and compact multi-point flux approximations (MPFA), based on the VCMP method previously introduced for 2-D Cartesian grids. For each cell face in the coarse upscaled grid, we create a local fine grid region surrounding the face on which we solve three generic local f...

This paper presents a general methodology to design macroscopic fluid models that take into account localized kinetic upscaling effects. The fluid models are solved in the whole domain together with a localized kinetic upscaling that corrects the fluid model wherever it is necessary. This upscaling is obtained by solving a kinetic equation on the non-equilibrium part of the distribution functio...

This paper asks how the benefits of municipal amalgamations compare to the costs thereof. It answers this research question by comparing the postwar experiences with such consolidation in a variety of OECD countries. First, this paper argues that nowadays upscaling local and regional government is popular. Many Western countries have plans to upscale local government or have already implemented...

We consider upscaling of non-Darcy flow in heterogeneous porous media. Our approach extends the pressure-based numerical homogenization procedure for linear Darcy flow, due to Durlofsky, to the nonlinear case. The effective coefficients are not constants but rather mildly varying functions of prevailing gradients of pressure. The upscaled model approximates the fine grid model accurately and, i...

Reservoir permeability is a critical parameter for characterization of the hydrocarbon reservoirs. In fact, determination of permeability is a crucial task in reserve estimation, production and development. Traditional methods for permeability prediction are well log and core data analysis which are very expensive and time-consuming. Well log data is an alternative approach for prediction of pe...

Predicting the permeability of porous media in saturated and partially conditions is crucial importance many geo-engineering areas, from water resources to vadose zone hydrology or contaminant transport predictions. Many models have been proposed literature estimate properties such as porosity, grain size pore size. In this study, we develop a model for by one two fluid phases with all physical...

Enhanced receptiveness at all synapses on a neuron that receive glutamatergic input is called cell-wide synaptic upscaling. We hypothesize that this type of synaptic plasticity may be critical for long-term memory storage within cortical circuits, a process that may also depend on epigenetic mechanisms, such as covalent chemical modification of DNA. We found that DNA cytosine demethylation medi...