نتایج جستجو برای: pore network modeling

تعداد نتایج: 1060116  

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2011
Mao Illich Romero Marcio S Carvalho Vladimir Alvarado

Transport of emulsions in porous media is relevant to several subsurface applications. Many enhanced oil recovery (EOR) processes lead to emulsion formation and as a result conformance originating in the flow of a dispersed phase may arise. In some EOR processes, emulsion is injected directly as a mobility control agent. Modeling the flow of emulsion in porous media is extremely challenging due...

Journal: :Journal of environmental quality 2015
Qiulan Zhang A Raoof S M Hassanizadeh

Colloid attachment is an important retention mechanism. It is influenced by colloid size, pore size, and flow rate, among other factors. In this work, we studied colloid attachment experimentally under various flow rates, as well as colloid release in response to a rapid change of flow rate. Colloid transport experiments under saturated conditions and with different flow rates were conducted in...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس 1389

abstract: country’s fiber optic network, as one of the most important communication infrastructures, is of high importance; therefore, ensuring security of the network and its data is essential. no remarkable research has been done on assessing security of the country’s fiber optic network. besides, according to an official statistics released by ertebatat zirsakht company, unwanted disconnec...

2001
Martin J. Blunt

In the last 3 years there has been a huge increase in the use of pore-scale modeling to study multiphase flow and transport in porous media. Starting from single pore models of fluid arrangements, computations of relative permeability, interfacial area, dissolution rate and many other physical properties have been made. Combined with a realistic description of the pore space, predictive modelin...

2015
Pengwei Zhang Liming Hu Jay N. Meegoda Shengyan Gao

The gas flow in shale matrix is of great research interests for optimized shale gas extraction. The gas flow in the nano-scale pore may fall in flow regimes such as viscous flow, slip flow and Knudsen diffusion. A 3-dimensional nano-scale pore network model was developed to simulate dynamic gas flow, and to describe the transient properties of flow regimes. The proposed pore network model accou...

2006
Ayako Kameda Jack Dvorkin

Numerical experimentation is an attractive complement to physical measurement of rock properties. In such experiments, a physical process is simulated in a pore space and then the corresponding property is calculated. For example, a simulation of viscous fluid flow through pores provides permeability. Many authors have used pore-scale numerical methods, such as Lattice-Boltzmann and network mod...

1999
Marc-Olivier Coppens Alexis T. Bell Arup K. Chakraborty

Self-di!usion in zeolites is studied using a simple mean-"eld theory and dynamic Monte-Carlo simulations of di!usion on a lattice model of the zeolite pore space. Our method is powerful, because of its simplicity, #exibility and ability to study the in#uence of various factors: the topology of the pore network, the fraction of strong adsorption sites, the relative strengths of weak and strong s...

Hydraulic fracturing is a phenomenon in which cracks propagate through the porous medium due to high pore fluid pressure. Hydraulic fracturing appears in different engineering disciplines either as a destructive phenomenon or as a useful technique. Modeling of this phenomenon in isothermal condition requires analysis of soil deformation, crack and pore fluid pressure interactions. In this paper...

Journal: :international journal of smart electrical engineering 0
milad sasani my self

abstract forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. this paper studies load consumption modeling in hamedan city province distribution network by applying esn neural network. weather forecasting data such as minimum day temperature, average day temp...

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