The size and configuration of pores are key features for automatic wood identification. In this paper, two feature sets insensitive to rotation and transition change are extracted and then used for construction of decision trees for recognizing three different kinds of pore distributions in wood microscopic images. The contribution of this paper lies in three aspects. Firstly, two direction ins...

The qualitative effect of nonuniform temperature gradient on the linear stability analysis of the Rayleigh-Benard convection problem in a Boussinesquian, viscoelastic fluid-filled, high-porosity medium is studied numerically using the single-term Galerkin technique. The eigenvalue is obtained for free-free, free-rigid, and rigid-rigid boundary combinations with isothermal temperature conditions...

Tight sand reservoir is usually characterized by high heterogeneity and complex pore structure, which makes the permeability calculation a big challenge and leads to difficulties in reservoir classification and productivity evaluation. First, five different Hydraulic Flow Units and respective Porosity-permeability relations were built based on core dataset from Kekeya block, Tuha Basin; and the...

Many casting defects, which cannot be eliminated by changes to tooling and process parameters, can be attributed to poor design of the part with respect to manufacturability. One such common defect is shrinkage porosity occurring at casting junctions. We present a generic classification of 3D casting junctions in terms of the number, thickness and cross-section of converging elements (walls), a...

Mapping the porosity of international border to pedestrian traffic: a comparative data classification approach to a study of the border region in Austria, Italy, and Slovenia Nao Hisakawa a , Piotr Jankowski a c & Gernot Paulus b a Department of Geography, San Diego State University b Department of Geoinformation and Environmental Technologies, Carinthia University of Applied Sciences c Institu...

The porosity within a reservoir rock is a basic parameter for the reservoir characterization. The present paper introduces two intelligent models for identification of the porosity types using image analysis. For this aim, firstly, thirteen geometrical parameters of pores of each image were extracted using the image analysis techniques. The extracted features and their corresponding pore types ...

The porosity of a zone can be estimated either from a single “porosity log” (sonic, density, neutron, or magnetic resonance log) or a combination of porosity logs, in order to correct for variable lithology effects in complex reservoirs. In the carbonates, mineral mixtures are primarily drawn from calcite, dolomite, and quartz (either as sand grains or as chert); anhydrite and gypsum may also o...

------------------------------------------------------Abstract---------------------------------------------------------Estimation of strength properties (uniaxial compressive and point load) from physical properties (density, porosity and rebound hardness) of shale rock type from Kogi State, Nigeria was investigated. The shale rock types were sampled and tested for their properties through in-s...