Exploring natural hydrogen potential in Alberta's Western Canadian Sedimentary Basin
Bibliographic record
Abstract
Natural hydrogen, or "white hydrogen", has recently garnered attention as a viable and cost-effective energy resource due to its low-carbon footprint and high energy density, positioning it as a key contributor to the transition towards a sustainable, low-carbon energy system. This study represents Alberta's first systematic effort to evaluate natural hydrogen potential in the province using publicly available geological, geospatial, and gas composition datasets. By mapping hydrogen occurrences against key geological features in the Western Canadian Sedimentary Basin (WCSB), we identify regions with strong geological potential for natural hydrogen generation, migration, and accumulation, while addressing data uncertainties. Within the WCSB, formations like the Montney, Cardium, Bearpaw, Manville, Belly River, McMurray, and Lea Park are identified as zones likely for hydrogen generation, by prominent mechanisms including hydrocarbon decomposition, water-rock reactions with iron-rich sediments, and organic pyrolysis. Formation proximity to the underlying Canadian Shield may also suggest potential for basement-derived hydrogen migration via deep-seated faults and shear zones. Salt deposits (Elk Point Group - Prairie evaporites, Cold Lake, and Lotsberg) and deep shales (e.g., Kaskapau, Lea Park, Wapiabi), provide effective cap rock potential, while reservoirs like porous sandstone (e.g. Dunvegan, Spirit River, Cardium) and fractured carbonate (e.g. Keg River) formations offer favorable accumulation conditions. Hydrogen occurrences in relation to geological features identify Southern, Eastern, and West-Central plains as prominent natural Hydrogen generation and accumulation areas. Alberta's established energy infrastructure, as well as subsurface expertise, positions it as a potential leader in natural hydrogen exploration. As Alberta's first systematic investigation, this study provides a preliminary assessment of natural hydrogen potential and outlines recommended next steps to guide future exploration and research. Targeted research on specific generation and accumulation mechanisms, and source identification through isotopic and geochemical fingerprinting, will be crucial for exploration, de-risking, and viability assessment in support of net-zero emission initiatives. • Alberta has high potential for natural hydrogen generation, migration, and accumulation. • Geological, geospatial, and gas data can identify zones favorable for hydrogen occurrence. • Alberta's infrastructure offers advantages for advancing natural hydrogen exploration. • Nine next steps are identified to advance natural hydrogen exploration in Alberta. • Isotopic fingerprinting is recommended as a key next step to trace hydrogen sources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".