Speaker
Description
Hydrocarbon transport in unconventional reservoir rocks remains poorly understood due to the presence of a wide range of pore sizes (from sub-nanometer to micrometers) and their complex spatial connectivity. In the present work, we combine hyper-resolution imaging techniques and image-based modeling to develop a novel hybrid pore network-continuum modeling framework for the flow and transport processes in the multiscale pore domains. The hybrid framework treats the smaller pores (i.e., pores below the image resolution) as a continuum using models described by the Darcy equation and explicitly represents the flow and transport processes in the larger pores (i.e., pores that are resolved in the images) using a computationally efficient pore network model. We validate the new framework via comparisons to direct numerical simulations (DNS) for several scenarios including steady-state single-phase flow, solute transport, and transient compressible single-phase flow. The results demonstrate that the new hybrid model accurately predicts the overall flow and transport process and the mass transfer between the pore network and the subresolution continuum domains, while being much more computationally efficient than the DNS methods.
References
Guo, B., Ma, L. and Tchelepi, H.A., 2018. Image-based micro-continuum model for gas flow in organic-rich shale rock. Advances in Water Resources, 122, pp.70-84.
Guo, B., Mehmani, Y. and Tchelepi, H.A., 2019. Multiscale formulation of pore-scale compressible Darcy-Stokes flow. Journal of Computational Physics, 397, p.108849.
Participation | Online |
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Country | China |
MDPI Energies Student Poster Award | No, do not submit my presenation for the student posters award. |
Time Block Preference | Time Block A (09:00-12:00 CET) |
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