This paper introduces a general, nonlinear subgrid-scale (SGS) model, having bounded artiicial viscosity, for the numerical simulation of convection-dominated problems. We also present a numerical comparison (error analysis and numerical experiments) between this model and the most common SGS model of Smagorinsky, which uses a p-Laplacian regularization. The numerical experiments for the 2-D co...

In this paper, we explore a sequential Bayesian bound for state-space models focusing on hybrid continuous and discrete random states. We provide an analytic recursion for the sequential Weiss–Weinstein (SWW) bound for linear state-space models with solutions for Gaussian, uniform, and exponential distributions as derived, as well as for a combination of these. We compare the SWW bound for disc...

Truncated Gaussian Simulation (TGS) is a well-known method to generate realizations of the ore domains located in a spatial sequence. In geostatistical framework geological domains are normally utilized for stationary assumption. The ability to measure the uncertainty in the exact locations of the boundaries among different geological units is a common challenge for practitioners. As a simple a...

The fracture characterization using a geostatistical tool with conditioning data is computationally efficient for subsurface flow and transport applications. main objective of the paper to propose framework methods model network. In method, we have chosen neighborhood area apply Gaussian Sequential Simulation in order generate network unknown region. angle was propagated from seed where guide d...

In this study, we used the NDVI time-series datasets to investigate variations in the starting dates of growing season (SGS) in China's cropland from 1983 to 2002. To do so, a smoothing algorithm based on an asymmetric Gaussian function was first performed on the NDVI dataset to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination. The SGS of cropland was ...

where ( ) denotes a filtered value. In Eq. (1), ρ, P , U i, ν and Sij denote the density, filtered static pressure, filtered velocity, kinematic viscosity and the strain-rate tensor, respectively. The SGS-stress tensor τij is originally expressed as τij = UiUj − U iU j . LES has long been recognized as a promising way to predict complex turbulence in engineering applications. Since the success ...

permeability is a key parameter in reservoir characterization. in fact, without accurate information about reservoir permeability, there is no good solution for reservoir engineering problems. up to now, permeability values of a reservoir have been calculated through laboratory measurements or well testing methods. these methods are useful but they cannot describe a reservoir reliably and preci...

We present a Bayesian inversion method for the joint inference of high-dimensional multiGaussian hydraulic conductivity fields and associated geostatistical parameters from indirect hydrological data. We combine Gaussian process generation via circulant embedding to decouple the variogram from grid cell specific values, with dimensionality reduction by interpolation to enable Markov chain Monte...