(197bk) Thermophysical Properties of H2/Gas/Brine System Under Subsurface Storage Conditions: Molecular Simulations and Thermodynamic Modeling
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Computational Molecular Science and Engineering Forum
Poster Session: Computational Molecular Science and Engineering Forum
Monday, November 6, 2023 - 3:30pm to 5:00pm
For reasons of complexity, cost and hazardousness, experimental studies on the thermophysical properties of H2/NaCl brine systems are limited. Few studies (2 experimental and 2 molecular simulation studies) were performed on the phase equilibria of H2/NaCl brine systems [4-7], showing significant discrepancies, and only recently interfacial tension were evaluated [8, 9]. Regarding the transport properties, no experimental studies are available for the self-diffusivity of H2/H2O/NaCl mixtures, and only one recent molecular simulation study has been published [7]. Furthermore, almost no studies deal with more representative systems consisting of mixtures of gases (H2, CH4, CO2, etc.) and ionic species in the formation water.
In this work, new equilibrium data for H2/gas/brine systems are predicted using Monte Carlo simulation with different approaches [10]: Gibbs ensemble method (direct method) and single NPT simulation using Henry's law method (indirect method). The effect of density and excess properties on solubility prediction is studied using different force fields for hydrogen, gas, water and salt ions. In addition, the possible influence of clay interlayer on the solubilities is explored. Using molecular dynamics, new data on self-diffusivity and interfacial tension for H2/NaCl brine systems are provided for a wide range of conditions relevant to underground hydrogen storage in porous media.
After validation against laboratory experiments, data are used to develop thermodynamic models with different approaches (gamma-phi and phi-phi approaches) and transport properties correlations. The developed models can be implemented in large-scale simulation tools, providing a more reliable representation of thermophysical property data and a better estimation of storage capacities and sealing integrity.
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