The relationship between natural hydrogen flow rates and production viability

Despite the widespread occurrence of mostly low concentrations of molecular hydrogen (H₂) in nature, the quantity of commercially recoverable natural hydrogen underground remains uncertain. Two production variants are conceptually considered: a self-replenishing system, in which underground generation balances off-take; and accumulation systems, in which H₂ is trapped underground over long periods and is extracted similarly to conventional natural gas deposits. To assess the potential of natural hydrogen, we compiled and harmonised global data on H₂ flow rates, flux rates, and concentrations from various sources like seeps, springs, mines, and wells. Across different geological settings, observed large natural H₂ flow rates typically fall between 10⁵ and 10⁷ cubic meters per year (m³/yr). When comparing these values to the output of producing natural gas wells and economic viability thresholds for modelled H₂ projects, we find that commercially viable rates must be at least an order of magnitude higher (≥ 10⁷-10⁸ m³/yr). Furthermore, sustained production at high hydrogen purity over two to three decades is generally required for commercial success. Based on this analysis, we argue that economically recoverable natural hydrogen from self-replenishing systems is unlikely.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-21
DOI
https://doi.org/10.1038/s41598-026-36749-y
Citations
1
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
21.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The relationship between natural hydrogen flow rates and production viability

Christine Thiel, Christian Ostertag-Henning, Peter Klitzke, Martin Blumenberg et al.
1 citations
Scientific Reports
CO2 Sequestration and Geologic Interactions
21.83
article

The relationship between natural hydrogen flow rates and production viability

Christine Thiel, Christian Ostertag-Henning, Peter Klitzke, Martin Blumenberg, Andreas Bahr, Meike Bagge, Ruediger Lutz, Dieter Franke
article en
1 citations

Abstract

Despite the widespread occurrence of mostly low concentrations of molecular hydrogen (H₂) in nature, the quantity of commercially recoverable natural hydrogen underground remains uncertain. Two production variants are conceptually considered: a self-replenishing system, in which underground generation balances off-take; and accumulation systems, in which H₂ is trapped underground over long periods and is extracted similarly to conventional natural gas deposits. To assess the potential of natural hydrogen, we compiled and harmonised global data on H₂ flow rates, flux rates, and concentrations from various sources like seeps, springs, mines, and wells. Across different geological settings, observed large natural H₂ flow rates typically fall between 10⁵ and 10⁷ cubic meters per year (m³/yr). When comparing these values to the output of producing natural gas wells and economic viability thresholds for modelled H₂ projects, we find that commercially viable rates must be at least an order of magnitude higher (≥ 10⁷-10⁸ m³/yr). Furthermore, sustained production at high hydrogen purity over two to three decades is generally required for commercial success. Based on this analysis, we argue that economically recoverable natural hydrogen from self-replenishing systems is unlikely.

Scientific ReportsVol. 16(1)
Federal Institute for Geosciences and Natural Resources (DE)
Openalex Percentile: Top 2%
CO2 Sequestration and Geologic Interactions
21.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.