An Adaptive Hybrid Vertical Equilibrium/Full‐Dimensional Model for Compositional Multiphase Flow

Abstract

The porous subsurface provides large-scale storage of gases like methane, and may be used for hydrogen storage in the future (

Automated Symbolic Upscaling: 1. Model Generation for Extended Applicability Regimes

“…The technical approaches set forth by this paradigm focus on translating the physical dynamics at finer scales (e.g., the pore‐scale) to much larger scales where nontrivial behaviors tend to occur. By providing accurate and computationally efficient predictions of such large‐scale behaviors, these analysis methods enhance the understandings of phenomena observed in geological engineering and hydrology, such as acidification reactions in carbonate rocks and biogeochemical reactions (Becker et al., 2022; Mehmani, Castelletto, & Tchelepi, 2021; Molins et al., 2019; Tang et al., 2015; Wang & Battiato, 2020; Yan et al., 2017). While many classical approaches to multiscale modeling continue to be employed (Battiato et al., 2019; Schiller & Wang, 2018), new data‐driven strategies are also being developed to reap the benefits of state‐of‐the‐art technologies (Lubbers et al., 2020; Wang & Battiato, 2021).…”

Automated Symbolic Upscaling: Model Generation for Extended Applicability Regimes, Part 1

“…The technical approaches set forth by this paradigm focus on translating the physical dynamics at finer scales (e.g., the pore-scale) to much larger scales where nontrivial behaviors tend to occur. By providing accurate and computationally efficient predictions of such large-scale behaviors, these analysis methods enhance the understandings of phenomena observed in geological engineering and hydrology, such as acidification reactions in carbonate rocks and biogeochemical reactions (Tang et al, 2015;Yan et al, 2017;Becker et al, 2022;Mehmani, Castelletto, & Tchelepi, 2021;Wang & Battiato, 2020). While many classical approaches to multiscale modeling continue to be employed (Schiller & Wang, 2018;Battiato et al, 2019), new data-driven strategies are also being developed to reap the benefits of state-ofthe-art technologies (Lubbers et al, 2020;.…”