In previous research, many scientists and researchers have carried out related studies about the spontaneous combustion of coal at both micro macro scales. However, macroscale study clusters piles cannot reveal nature oxidation combustion, mesoscale molecule functional groups be directly applied to engineering practice. According our literature survey, is a porous medium its multi-scale process...

The skin is a major exposure route for many potentially toxic chemicals. It is, therefore, important to be able to predict the permeability of compounds through skin under a variety of conditions. Available skin permeability databases are often limited in scope and not conducive to developing effective models. This sparseness and ambiguity of available data prompted the use of fuzzy set theory ...

Dielectric materials play an important role in broad applications, such as electrical and electromagnetic applications. This research studied the prediction of effective permeability of composite and nanocomposite dielectric materials based on theoretical analysis to specify the effects of embedded magnetic inclusions in enhancing magnetic properties of dielectrics. Effective permeability of Pl...

The productivity of low-permeability reservoirs is affected by multiple factors. After the development water injection pressure drive, it will also be factors such as construction, resulting in large differences different oil wells. According to reservoir engineering knowledge, affecting drive are preliminarily determined. conceptual model low permeability established numerical simulation metho...

We introduce a model that allows for the prediction of the permeability of self-affine rough channels (one-dimensional fracture) and two-dimensional fractures over a wide range of apertures. In the lubrication approximation, the permeability shows three different scaling regimes. For fractures with a large mean aperture or an aperture small enough to the permeability being close to disappearing...

The objective of the present study is to make a database that describes leaching-permeability behavior collapsible gypseous soil. data will be implemented develop ANN prediction models for predicting saturated coefficient permeability and percentage solubility by weight. complex soil tedious time consume in testing have driven researchers use Artificial Neural Network (ANN) as tool prediction. ...

Displacement of oil and water in porous media of reservoir rocks is described by relative                      permeability curves, which are important input data for reservoir performance simulation and drive mechanism studies. Many core studies, such as multiphase relative permeability, capillary pressure and saturation exponent determination, depend on the volume fractions of multiphase flui...