Geostatistics provides quantitative indicators to characterize the spatial distribution of soil attributes which follow the regionalized variable theory. The present study aimed at applying Geostatistics to enhance the resolution of a regional soil map at East El-Owienat area which surveyed by one profile for each four kilometers. Studied area was extracted over 71 thousand feddans where six so...

The application of state-of-the-art history matching methods to large heterogeneous reservoirs is hampered by two main problems: (1) reservoir models should be constrained jointly to dynamic data and a large variety of geological continuity information, (2) CPU demand should not be prohibitive for large models. This paper proposes a method contributing to alleviating these two main concerns. By...

in order to comparing geostatistics and artificial neural networks (ann) methods in predicting soil salinity and clay content this experiment was conducted in sistan region land. 121 soil samples were taken at the depth of 0-30 cm within the grid of 750 750 m and soil ec and clay percent were determined. 105 samples were used for training and 16 samples were used for test in both models. diffe...

Precipitation estimation is a challenging task, especially in regions where its spatial distribution irregular and highly variable. This study evaluated the of annual rainfall semiarid Brazilian basin under different regimes impact on land use cover dynamics. Climate Hazards Group InfraRed with Stations (CHIRPS) records observed data from 40 weather stations over time series 55 years were used,...

Sedimentological processes often result in complex three-dimensional subsurface heterogeneity of hydrogeological parameter values. Variogram-based stochastic approaches are often not able to describe heterogeneity in such complex geological environments. This work shows how multiple-point geostatistics can be applied in a realistic hydrogeological application to determine the impact of complex ...