Hydrogen Flow and Trapping in Sandstone Rocks

Comparing Pore-Scale Experiments with Pore Network Modelling

Conference Paper (2025)
Author(s)

Z. Jangda (Heriot-Watt University)

T. Bultreys (Universiteit Gent)

Z. Jiang (Heriot-Watt University)

A. Busch (Heriot-Watt University)

S. Geiger (TU Delft - Geoscience and Engineering)

H. Menke (Heriot-Watt University)

K. Singh (Heriot-Watt University)

Department
Geoscience and Engineering
DOI related publication
https://doi.org/10.3997/2214-4609.202421219
More Info
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Publication Year
2025
Language
English
Department
Geoscience and Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
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Abstract

Understanding pore-scale hydrogen displacement and trapping is crucial for developing subsurface hydrogen storage facilities. While pore-scale flow visualization experiments provide critical insights, they are complex and re source-intensive. Quasi-static pore-network models (PNMs) offer a faster alternative for simulating multiphase flow. This study uses a widely employed PNM to simulate hydrogen flow in sandstones, comparing results with pore-scale flow visualization experiments at reservoir conditions.

Two sandstone samples were used: homogeneous Bentheimer and heterogeneous Clashach. Pore networks were extracted comprising pores and throats, and hydrogen-water flow was simulated, modelling drainage and imbibition processes. Results were analysed for fluid saturations and pore occupancies.

For the homogeneous rock, the PNM matches experimental results for both drainage and imbibition, enabling simulations of different wettability conditions and multiple injection and production cycles. For the heterogeneous rock, the PNM reasonably predicts the hydrogen flow path during drainage but fails to accurately predict imbibition. This discrepancy highlights the limitations of PNMs in predicting pore-scale flow in complex rocks.

In conclusion, while PNMs offer a computationally efficient means to simulate hydrogen flow, they cannot currently replace experimental observations for complex rocks. Further validation against experimental findings is necessary to refine these models and expand their applicability for underground hydrogen storage.

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