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Impact of groundwater flow on methane gas migration and retention in unconsolidated aquifers

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“Methane leaking at depth from hydrocarbon wells poses an environmental and safety hazard. However, determining the occurrence and magnitude of gas migration at ground surface is challenging, as part of the leaking gas is retained during upward migration. We investigated migration through unconsolidated sedimentary aquifers using a two-phase, two-component (water and methane) flow and transport model constructed in DuMux. A sensitivity analysis for migration through a 60 m thick sandy aquifer showed that retention by dissolution can be significant even with low groundwater Darcy velocities of 1 m.yr−1. Retention was negligible in the absence of groundwater flow. Besides groundwater velocity, both hydrogeological (permeability, entry pressure, pore-size distribution, and residual gas saturation) and leakage conditions (depth, magnitude and spatial dimensions) determined model outcomes. Additional simulations with interbedded finer grained sediments resulted in substantial lateral spreading of migrating gas. This delayed upward migration and enhanced retention in overlying sandy units where groundwater velocities are highest. Overall, the results of this study show that for unconsolidated aquifer systems and the most commonly observed leakage rates (0.1–10 m3.d−1), significant amounts of migrating methane can be retained due to dissolution into laterally flowing groundwater. Consequently, resulting atmospheric methane emissions above such leaks may be delayed with decades after the onset of leakage, significantly reduced, or prevented entirely.”

(Citaat: Schout, G., Hartog, N., Hassanizadeh, S.M., Helmig, R., Griffioen, J. – Impact of groundwater flow on methane gas migration and retention in unconsolidated aquifers – Journal of Contaminant Hydrology (2020) art. no. 103619 – In Press, Corrected Proof – DOI: 10.1016/j.jconhyd.2020.103619 – (Open Access))

This is an open access article distributed under the terms of the Creative Commons CC-BY license, Copyright © 2020, Elsevier

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