نتایج جستجو برای: permeability prediction

تعداد نتایج: 302587  

2011
Xingxing Kuang Jiu Jimmy Jiao

[1] Relative permeability of the nonwetting phase in a multiphase flow in porous media is a function of phase saturation. Specific expressions of this function are commonly determined by combining soil water retention curves with relative nonwetting phase permeability models. Experimental evidence suggests that the relative permeability of the nonwetting phase can be significantly overestimated...

2015
Jadwiga A. Jarzyna Paulina I. Krakowska Edyta Puskarczyk Roman Semyrka

Combination of laboratory measurements res ults of various properties, i.e. porosity, density, permeability and mineral composition, was done to get additional factors useful in fluid flow description in the Miocene sandy-shaly formation. Special computer processing of nuclear magnetic resonance outcomes and mercury injection porosimetry results turned out to be useful in the estimation of the ...

2015
Z. Sadeghi M. R. Omidkhah M. E. Masoomi

Abstract—The purpose of this paper is to examine gas transport behavior of mixed matrix membranes (MMMs) combined with porous particles. Main existing models are categorized in two main groups; two-phase (ideal contact) and three-phase (non-ideal contact). A new coefficient, J, was obtained to express equations for estimating effect of the particle porosity in two-phase and three-phase models. ...

2010
Yi Sun Gary P. Moss Maria Prapopoulou Rod Adams Marc B. Brown Neil Davey

Improving prediction of the skin permeability coefficient is a difficult problem, and an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we apply Gaussian Processes (GPs) with five different covariance functions to predict the permeability coefficients of human, pig, rodent and silastic membranes. We obtain a considerable improvement over quant...

Journal: :Journal of Environmental Engineering and Landscape Management 2019

Journal: :Physics of Fluids 2023

At present, researchers predict permeability through core experiments that require specific experimental conditions and methods, which are difficult time-consuming. Conventional simulation methods for predicting considerable computational resources. Therefore, deep learning can be used as a pore-scale prediction method. In this study, we established workflow directly from images. Considering th...

Journal: :Fractal and fractional 2022

The paper applies fractal theory to the structure of coal pores and calculates dimension integrated for each pore section >100 nm, 100 nm > d 5.25 <2 nm. In experiment, we performed full stress–strain-seepage experiment methane-bearing coal, revealed deformation–seepage characteristics under load, deduced dynamic prediction mechanical model permeability based on heterogeneity, followed...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید