Geophysical well logs are widely used in geological fields, however, there are considerable
incompatibilities existing in solving geological issues using well log data. This review …

This research aims to explore the application of an unsupervised machine learning and
inverse modeling-based methods to map the aquifers geometry and investigate the …

Land use and climate change always induce significant changes in various parameters of
the hydrologic cycle (eg, surface runoff, infiltration, evapotranspiration). The Wadi El-Assiuti …

Geophysical and geological studies play a fundamental role in the strategic and sustainable
utilization of natural resources, especially that of fossil groundwater, in arid regions. The …

Lithology identification is an important part of reservoir evaluation and reservoir description
when processing and interpreting geophysical record data. Clustering analysis refers to the …

Groundwater is the primary source of fresh water for agriculture and other purposes in the
Wadi El-Assiuty area; therefore, the preservation of its supply and quality is of great …

As underground engineering construction expands globally, numerous tunnels and
roadways are excavated annually. However, the complex and unpredictable underground …

Wadi El Assiuti represents a promising area for agricultural development and building new
communities far from the overpopulated areas in the Nile Val-ley. An integrated approach of …

This research presents an unsupervised learning approach for interpreting well-log data to
characterize the hydrostratigraphical units within the Quaternary aquifer system in Debrecen …

Soil hydraulic conductivity (K) significantly affects subsurface flow and solute transport, but
convenient measurement of K remains a challenge. Electrical conductivity (EC), which can …