30 May 2022 to 2 June 2022
Asia/Dubai timezone

An image-based hybrid pore network-continuum modeling framework for fluid flow and transport in multiscale porous media

30 May 2022, 17:35
15m
Oral Presentation (MS09) Pore-scale modelling MS09

Speaker

Li Zhang (University of Arizona)

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
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)
Acceptance of the Terms & Conditions Click here to agree

Primary authors

Li Zhang (University of Arizona) Bo Guo (University of Arizona) Chao-Zhong Qin (Chongqing University) Prof. Yongqiang Xiong

Presentation materials

There are no materials yet.