A comparative analysis of numerical approaches for the description of gas flow in clay-based repository systems: From a laboratory to a large-scale gas injection test

There is nowadays a consensus among many countries that geological disposal is a favourable solution for the long-term management. Although different host formations and different barrier systems are under consideration around the world, clay-based materials form an important component for waste isolation in most national programmes. Hence, a good comprehension of the effect of gas flow on the hydro-mechanical behaviour of clay-based soils is essential, both at laboratory and field scale. Task B under the international cooperative project DECOVALEX-2023 has recently shown that, after some enhancement, models can be employed to reproduce laboratory scale tests, even with different sample geometries 37 . However, further work is required to understand whether they can be applied to simulate a large-scale experiment. Up-scaling of models for the advective transport of gas through clay-based low permeable material presents a number of problems related to the difficulty in obtaining consistent hydrogeological parameters and constitutive relationships at both laboratory and field scale. Based on a unique dataset from a large-scale gas injection test (Lasgit) performed at the Äspö Hard Rock Laboratory (Sweden), Task B within DECOVALEX-2023 has explored the refinement of these numerical strategies applied to the simulation of gas flow. Work performed within the task reveals that codes do not need to be substantially modified from the laboratory models to reproduce full-scale tests: indeed, model parameters calibrated and validated at laboratory scale have been applied to predict field scale gas flow at Lasgit, including peak gas pressure and injected cumulative gas volume. By means of (1) the introduction of interfaces between blocks to reflect the experimental configuration and the (2) adjustment of some parameters (e.g., higher permeability), the updated models are able to represent most of the key features observed in the experimental data, even at a large scale. • Four numerical models were applied to a large-scale gas injection test to refine simulations of advective gas flow in clay-based repositories. • Lab-scale models needed minor tweaks, like bentonite interfaces and permeability adjustments, to match full-scale data. • Models capture key features but have limited predictive use due to complex processes and calibration needs. • More data is needed to enhance model reliability and improve gas flow prediction.

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Publication Details

Journal
Geomechanics for Energy and the Environment
Published
2025-02-22
DOI
https://doi.org/10.1016/j.gete.2025.100654
Citations
3
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
1.91

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article

A comparative analysis of numerical approaches for the description of gas flow in clay-based repository systems: From a laboratory to a large-scale gas injection test

B.S. Noghretab, J.F. Harrington, R.J. Cuss, Eike Radeisen et al.
3 citations
Geomechanics for Energy and the Environment
Soil and Unsaturated Flow
1.91
article

A comparative analysis of numerical approaches for the description of gas flow in clay-based repository systems: From a laboratory to a large-scale gas injection test

B.S. Noghretab, J.F. Harrington, R.J. Cuss, Eike Radeisen, Ivan Puig Damians, E. Tamayo-Mas, Jonny Rutqvist, J.T. Kim, Changsoo Lee
article en
3 citations

Abstract

There is nowadays a consensus among many countries that geological disposal is a favourable solution for the long-term management. Although different host formations and different barrier systems are under consideration around the world, clay-based materials form an important component for waste isolation in most national programmes. Hence, a good comprehension of the effect of gas flow on the hydro-mechanical behaviour of clay-based soils is essential, both at laboratory and field scale. Task B under the international cooperative project DECOVALEX-2023 has recently shown that, after some enhancement, models can be employed to reproduce laboratory scale tests, even with different sample geometries 37 . However, further work is required to understand whether they can be applied to simulate a large-scale experiment. Up-scaling of models for the advective transport of gas through clay-based low permeable material presents a number of problems related to the difficulty in obtaining consistent hydrogeological parameters and constitutive relationships at both laboratory and field scale. Based on a unique dataset from a large-scale gas injection test (Lasgit) performed at the Äspö Hard Rock Laboratory (Sweden), Task B within DECOVALEX-2023 has explored the refinement of these numerical strategies applied to the simulation of gas flow. Work performed within the task reveals that codes do not need to be substantially modified from the laboratory models to reproduce full-scale tests: indeed, model parameters calibrated and validated at laboratory scale have been applied to predict field scale gas flow at Lasgit, including peak gas pressure and injected cumulative gas volume. By means of (1) the introduction of interfaces between blocks to reflect the experimental configuration and the (2) adjustment of some parameters (e.g., higher permeability), the updated models are able to represent most of the key features observed in the experimental data, even at a large scale. • Four numerical models were applied to a large-scale gas injection test to refine simulations of advective gas flow in clay-based repositories. • Lab-scale models needed minor tweaks, like bentonite interfaces and permeability adjustments, to match full-scale data. • Models capture key features but have limited predictive use due to complex processes and calibration needs. • More data is needed to enhance model reliability and improve gas flow prediction.

Geomechanics for Energy and the EnvironmentVol. 42
Federal Institute for Geosciences and Natural Resources (DE), British Geological Survey (GB), Lawrence Berkeley National Laboratory (US), Korea Atomic Energy Research Institute (KR), International Center for Numerical Methods in Engineering (ES), Universitat Politècnica de Catalunya (ES)
U.S. Department of Energy, Nuclear Waste Management Organization, Korea Atomic Energy Research Institute, Eidgenössisches Nuklearsicherheitsinspektorat, Canadian Nuclear Safety Commission, Japan Atomic Energy Agency
Openalex Percentile: Top 17%
Soil and Unsaturated Flow
1.91
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