Evaluating and Revealing Statistical Patterns and Database Performance in Hydrogen Exploration

This study conducts a statistical analysis of global natural hydrogen occurrences revealing critical patterns and proposing future exploration strategies. By updating previous databases (including gt;10% hydrogen occurrences), we compiled 411 data points. These were classified and compared using databases related to tectonic, geophysical, surface, and mineral resource components. Anomaly detection was applied to identify local and regional patterns through location property analysis and the modified z-score method. The analysis highlights the strengths and limitations of current datasets and offers recommendations for future research. This study enhances our understanding of the distribution of high hydrogen occurrences, highlighting significant patterns primarily associated with proximity to geological province boundaries, active faults, mineral commodities, and mineralizations. Additionally, it identifies anomalies linked to geophysical and surface components and evaluates the potential of specific databases as practical exploration tools.