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 …

This research proposes an innovative approach utilizing geophysical well logging data
analyzed with multiple machine learning (ML) methods including, self-organizing maps …

The Debrecen area, as part of the Great Hungarian Plain (GHP), is associated with a multi-
aquifer system that is overly exploited to fulfill the development plans. This research aims to …

An integrated approach using geophysical and geospatial techniques was employed to
model the surface and subsurface water-bearing strata and assess aquifer vulnerability in …

This study is conducted in the northern Omdurman area to delineate groundwater potential
zones using electrical resistivity method. Omdurman is the most ancient city known as the …

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

Understanding the distribution of hydrogeological properties of the aquifers is crucial for
sustainable groundwater resource development. This research explores the application of …

Geological discontinuities such as faults and fractures occur in all kinds of rock terrains.
Investigation of these discontinuities is important in understanding the geological structures …

The recent research aims to investigate the petrophysical and hydrogeological parameters
of the Nubian aquifer system (NAS) in Northern Khartoum State, Sudan, using integrated …

Characterizing the lithological and hydraulic behavior of heterogeneous groundwater
systems presents a significant challenge in hydrogeology. Traditional methods often rely on …