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Sustainable Development and Technologies National Programme of the Hungarian Academy of Sciences


Assessing heterogeneous groundwater systems: Geostatistical interpretation of well logging data for estimating essential hydrogeological parameters

In the framework of the Sustainable Development and Technologies project, this research focuses on employing an unsupervised learning approach to interpret well-log data, aiming to characterize the primary hydrostratigraphical units within the Quaternary aquifer system in the Debrecen area of Eastern Hungary. The study introduced a novel approach that bridges the traditional and data-driven machine learning approaches, which proved to be beneficial in characterizing heterogeneous aquifer systems, thereby facilitating successful groundwater resource development and management.