The lattice Boltzmann method and pore network model are two types of the most popular pore-scale fluid flow simulation methods. As a direct numerical method, simulates directly in realistic porous structures, characterized by high computational accuracy but low efficiency. On contrary, simplified regular networks real media, which is more computationally efficient, fails to capture detailed str...

Residual gas saturation is one of the most important parameter in determining recovery factor of water-drive gas reservoir. Visual observation of processes occurring at the pore level in micromodels can give an insight to fluid displacements at the larger scale and also help the interpretation of production performance at reservoir scale. In this study experimental tests in a glass micromod...

yarn tenacity is one of the most important properties in yarn production. this paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. the artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 ne. as the first step for modeling, the empirical data is col...

The pore size of biopolymer networks governs their mechanical properties and strongly impacts the behavior of embedded cells. Confocal reflection microscopy and second harmonic generation microscopy are widely used to image biopolymer networks; however, both techniques fail to resolve vertically oriented fibers. Here, we describe how such directionally biased data can be used to estimate the ne...

The translocation of a single stranded nucleic acid polymer through a nanopore, by an external electric field applied across the pore, may be well described by a 1-D drift-diffusion model. Translocation times and velocities are calculated for a homopolymer driven through a nanopore, where the polymerpore interaction dominates the polymer dynamics. In this model a purely electrostatic polymer-po...

A pore-scale model is developed to simulate mass transfer between two fluid phases in a porous medium. The approach uses a network description of the pore space and builds on explicit tracking of the fluid-fluid interfaces in the pore network. Mass transfer is computed as local mass fluxes across each interface, and transport equations are solved in the pore network by a characteristic method. ...

abstract: in this study the reliability of using response surface-neural network method to predict the osmotic dehydration properties of crookneck squash has been investigated. in order to carry out this project, the osmotic solution concentration, the osmotic solution temperature and immersion time were chosen as inputs and solid gain and water loss were selected as outputs of the designed net...