Subsoil helium concentrations depend on many factors that do not allow to use standard approaches in data processing.

Field surveys generate high-density datasets containing thousands of measurement points and millions of records.

Data is processed in a digital environment with automated quality control, validation, and noise filtering.

Statistical analysis and normalization identify background levels and detect geochemical anomalies.

Heologic Group owns the only and the largest digital subsoil helium concentration database in the world — a foundation for advanced AI-driven analysis and interpretation.

Machine learning and AI algorithms analyze spatial patterns and correlations in helium datasets.

Final outputs include high-resolution anomaly maps and are ready for further geophysical and geological integration.