Pages that link to "Item:Q1420760"
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The following pages link to Use of border regions for improved permeability upscaling (Q1420760):
Displaying 17 items.
- Deterministic homogenization for media with barriers (Q479067) (← links)
- Analysis and improvements of global-local enrichments for the generalized finite element method (Q503931) (← links)
- A stochastic mixed finite element heterogeneous multiscale method for flow in porous media (Q550908) (← links)
- Improved upscaling of reservoir flow using combination of dual mesh method and vorticity-based gridding (Q732183) (← links)
- Upscaling of the permeability by multiscale wavelet transformations and simulation of multiphase flows in heterogeneous porous media (Q732206) (← links)
- The local microscale problem in the multiscale modeling of strongly heterogeneous media: Effects of boundary conditions and cell size (Q876012) (← links)
- Integration of local-global upscaling and grid adaptivity for simulation of subsurface flow in heterogeneous formations (Q943079) (← links)
- Nonlinear two-point flux approximation for modeling full-tensor effects in subsurface flow simulations (Q1000884) (← links)
- Accurate local upscaling with variable compact multipoint transmissibility calculations (Q1000891) (← links)
- Numerical calculation of equivalent cell permeability tensors for general quadrilateral control volumes (Q1611738) (← links)
- Macroscopically consistent non-local modeling of heterogeneous media (Q1667322) (← links)
- An upscaling approach using adaptive multi-resolution upgridding and automated relative permeability adjustment (Q1710309) (← links)
- Upscaling of two-phase discrete fracture simulations using a convolutional neural network (Q2085098) (← links)
- Application of diffuse source functions for improved flow upscaling (Q2185963) (← links)
- Global variable compact multipoint methods for accurate upscaling with full-tensor effects (Q2267327) (← links)
- The study of relative phase-permeability functions for anisotropic media (Q5388174) (← links)
- Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network (Q6181707) (← links)
