“…Although computationally expensive, the main advantage of discrete models is that they provide a more faithful representation of gradients between the properties of fractures and the rock matrix (de Dreuzy et al., 2002, 2012; Edery et al., 2016; Frampton & Cvetkovic, 2010; Hardebol et al., 2015; Hyman, 2020; Hyman et al., 2019a; Kang et al., 2019; Maillot et al., 2016; Painter et al., 2002; Selroos et al., 2002; Zou & Cvetkovic, 2020, 2021) across a wide range of length scales (Bogdanov et al., 2007; de Dreuzy et al., 2002, 2012; Frampton & Cvetkovic, 2010; Frampton et al., 2019; Hyman et al., 2019b; Joyce et al., 2014; Makedonska et al., 2016; Sweeney & Hyman, 2020; Wellman et al., 2009) and offer the ability to test hypotheses about the importance of one scale of heterogeneity against another. This aspect makes them better suited to inform field site operators about what data would be the most impactful to constrain predictive models.…”