Evaluating and Revealing Statistical Patterns and Database Performance in Hydrogen Exploration

Mosquera-Rivera, Juan Esteban; Jiménez-Vergara, Juan Manuel; Betancourt-Flórez, Rolando Esteban; Vargas-Jiménez, Carlos Alberto; Ball, Philip Joseph

Abstract

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.

Citation

Mosquera-Rivera, J. E., Jiménez-Vergara, J. M., Betancourt-Flórez, R. E., Vargas-Jiménez, C. A., & Ball, P. J. (2025). Evaluating and Revealing Statistical Patterns and Database Performance in Hydrogen Exploration. Interpretation, 1-74. https://doi.org/10.1190/int-2024-0101.1

• Journal Article Type: Article
• Acceptance Date: Feb 19, 2025
• Online Publication Date: Feb 19, 2025
• Publication Date: Feb 19, 2025
• Deposit Date: May 21, 2025
• Journal: Interpretation
• Print ISSN: 0020-9643
• Electronic ISSN: 2159-340X
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Pages: 1-74
• DOI: https://doi.org/10.1190/int-2024-0101.1
• Public URL: https://keele-repository.worktribe.com/output/1080579