The digital elevation model (DEM) is the name given to a structure used indicate surface. Determination of features such as elevation, basin slope and area are very important in engineering applications. These properties determined by DEM their power represent accuracy or truth vital In addition latitude (X), longitude(Y) coordinate information, altitude information required, intermediate value...

Stratigraphic modeling based on physical and geologic principles has been improved by more sophisticated process models and increased computer power. However, such efforts may reach a limit in their predictive power because of the stochastic, multiscaled nature of the physical processes involved. Building on techniques from the geostatistical literature, a conditional simulation method, dubbed ...

The special issue entitled “Developments in Quantitative Assessment and Modeling of Mineral Resource Potential” is composed 17 papers that cover a diverse range approaches to mineral resource assessment, including mainly multivariate statistical analysis, fractal multifractal modeling, geostatistical machine learning, mathematical morphology 3D exploration. This introductory article first provi...

This research aims to assess the hydrogeochemical evolution of groundwater in Oued souf valley for drinking and irrigation purposes. To achieve this, 49 samples from complex terminal were examined treated concurrently with multivariate statistical methods, geostatistical modeling WQI (water quality index). Focusing on physico-chemical parameters, Q mode clustering analysis detected four major w...

Abstract This research aims at characterizing and modeling delineated reservoirs in ‘Falad’ Field, Niger Delta, Nigeria, to mitigate the challenge caused by heterogeneous nature of reservoirs. Seismic well log data were integrated, geostatistics was applied describe reservoir properties interwell spaces within study area. Four reservoirs, namely RES 1, 2, 3 4, correlated across four wells. The ...

Most studies on urban land values focus on the determinants, using hedonic land price models with the consideration of the physical and socio-economic factors. This article employs geostatistical methods to analyze urban land values. Through a case study of Milwaukee, we set up semivariogram models and 3-D TIN surface models for urban land values, and explore anisotropy characteristics and the ...