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Pore-scale evaluation of hydrogen storage and recovery in basaltic formations

2025· article· en· W4413001356 on OpenAlexafffund
Enoch Mayowa Ibitogbe, Adedapo N. Awolayo

Bibliographic record

VenueAdvances in Water Resources · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBasaltScale (ratio)GeologyHydrogen storageGeotechnical engineeringEnvironmental sciencePetroleum engineeringHydrogenGeochemistryChemistryGeographyCartography

Abstract

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Underground hydrogen storage (UHS) in basaltic rocks offers a scalable solution for large-scale sustainable energy needs, yet its efficiency is limited by poorly constrained pore-scale hysteresis during cyclic hydrogen-brine flow. While basaltic rocks have been extensively studied for carbon sequestration and critical mineral extraction, the pore-scale physics governing cyclic hydrogen-brine interactions, particularly the roles of snap-off, wettability, and hysteresis, remain inadequately understood. This knowledge gap hinders the development of predictive models and optimization strategies for UHS performance. This study presents a pore-scale investigations of cyclic hydrogen-brine flow in basaltic formations, combining micro-computed tomography imaging with pore network modelling. A systematic workflow is employed to evaluate the effects of repeated drainage-imbibition cycles on multiphase flow properties under varying wetting regimes, with emphasis on hysteresis evolution and its influence on recoverable hydrogen. Model validation is achieved through a novel benchmarking approach that incorporates synthetic fractures and morphological scaling, enabling calibration against experimental capillary pressure and relative permeability. Results show that hydrogen trapping is primarily governed by snap-off and pore-body isolation, particularly within large, angular pores exhibiting high aspect ratios and limited connectivity. Strong hysteresis is observed between drainage and imbibition, with hydrogen saturations averaging 85%, predominantly in larger pore spaces, compared to a residual saturation of 61% following imbibition. Repeated cycling leads to a gradual increase in residual saturation, which eventually stabilizes, indicating the onset of a hysteresis equilibrium state. Wettability emerges as a critical second-order control on displacement dynamics. Shifting from strongly to weakly water-wet conditions reduces capillary entry pressures, enhances brine re-invasion, and increases hydrogen recovery efficiency by ∼ 6%. These findings offer mechanistic insights into capillary trapping and wettability effects, providing a framework for optimizing UHS reactive and abundant, yet underutilized, basalt formations, and supporting ongoing global decarbonization efforts through reliable subsurface hydrogen storage. • Coupled quasi-static pore-network modelling with micro-CT imaging to simulate H 2 –brine flow in basalt pore networks. • Basaltic reserviors show potential for secure H 2 storage. • Snap-off and pore-body isolation govern hydrogen trapping in large pores with high aspect ratios. • Hysteresis equilibrium emerges after repeated drainage—imbibition cycles with residual H 2 saturation stabilizing by the fifth cycle. • Wettability alteration from a strongly to weakly water-wet regime reduces residual H 2 saturation from 0.60 to 0.55, boosting overall recovery efficiency by 6%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.246
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes2
Has abstractno

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