<p>Geological CO<sub>2</sub> storage is a key strategy for reducing atmospheric carbon emissions, where long-term containment depends on understanding subsurface migration behaviour. Fault zones are critical geological structures that can strongly influence CO<sub>2</sub> transport and potential leakage pathways. However, the observable physical responses associated with CO<sub>2</sub> migration within fault-controlled formations remain insufficiently understood. This study develops a large-scale three-dimensional physical similarity model to simulate CO<sub>2</sub> injection into a fault zone, with synchronous strain–temperature monitoring and supplementary apparent resistivity measurements. The aim is to interpret these measurable multi-field responses as indicators of CO<sub>2</sub> migration behaviour rather than to assess fault mechanical stability. CO<sub>2</sub> injection induces deformation and thermal responses, while apparent resistivity anomalies provide additional evidence of pore-pressure redistribution, fluid displacement, and gas–water interactions. The integrated strain–temperature responses, supported by apparent resistivity observations, suggest a staged migration process comprising pressure-driven expansion, transitional gas–water redistribution, and final stabilization accompanied by gradual fluid redistribution and thermal equilibration. Migration is predominantly concentrated along the fault zone, which appears to provide a preferential vertical pathway for CO<sub>2</sub> transport, while lateral diffusion into surrounding strata remains limited. The results suggest that the combined multi-field observations can help identify migration pathways and stage evolution, providing process-based support for interpreting monitoring signals in fault-affected storage systems. These findings should be interpreted as process-scale insights into fault-controlled CO<sub>2</sub> migration rather than direct quantitative predictions for deep geological storage environments.</p>

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Multi-field responses to CO2 migration in a fault-controlled geological system: insights from a large-scale physical similarity experiment

  • Meixin Yan,
  • Qiang Sun,
  • Jishi Geng,
  • Rui Ding,
  • Liwei Zhang,
  • Duoxing Yang

摘要

Geological CO2 storage is a key strategy for reducing atmospheric carbon emissions, where long-term containment depends on understanding subsurface migration behaviour. Fault zones are critical geological structures that can strongly influence CO2 transport and potential leakage pathways. However, the observable physical responses associated with CO2 migration within fault-controlled formations remain insufficiently understood. This study develops a large-scale three-dimensional physical similarity model to simulate CO2 injection into a fault zone, with synchronous strain–temperature monitoring and supplementary apparent resistivity measurements. The aim is to interpret these measurable multi-field responses as indicators of CO2 migration behaviour rather than to assess fault mechanical stability. CO2 injection induces deformation and thermal responses, while apparent resistivity anomalies provide additional evidence of pore-pressure redistribution, fluid displacement, and gas–water interactions. The integrated strain–temperature responses, supported by apparent resistivity observations, suggest a staged migration process comprising pressure-driven expansion, transitional gas–water redistribution, and final stabilization accompanied by gradual fluid redistribution and thermal equilibration. Migration is predominantly concentrated along the fault zone, which appears to provide a preferential vertical pathway for CO2 transport, while lateral diffusion into surrounding strata remains limited. The results suggest that the combined multi-field observations can help identify migration pathways and stage evolution, providing process-based support for interpreting monitoring signals in fault-affected storage systems. These findings should be interpreted as process-scale insights into fault-controlled CO2 migration rather than direct quantitative predictions for deep geological storage environments.