2022
DOI: 10.1016/j.ijggc.2022.103699
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Modelling CO2 plume spreading in highly heterogeneous rocks with anisotropic, rate-dependent saturation functions: A field-data based numeric simulation study of Otway

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Cited by 25 publications
(7 citation statements)
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“…Quantifying the local capillary trapped fraction has proved difficult as it depends on the exact geometry of the geologic depositional pattern (fabric), and the grain size contrast between depositional layers (Krishnamurthy et al., 2019; Meckel et al., 2017; Mishra & Haese, 2020). Numerical simulations have provided estimates of the effect of heterogeneities at different scales (Gershenzon et al., 2017; Jackson & Krevor, 2020; Shao et al., 2022; Trevisan, Krishnamurthy, & Meckel, 2017; Zahasky et al., 2020), but analogous laboratory experiments to corroborate these results have been lacking. Experiments have been limited to cores (Krishnamurthy et al., 2017; Manoorkar et al., 2021; Moreno & Rabinovich, 2021; Ni et al., 2019; Oh et al., 2015) where the depositional patterns are underrepresented due to size limitation (Huang et al., 1995; Ringrose & Bentley, 2015; Ringrose et al., 1993), and/or intermediate scale physical models (Trevisan et al., 2014; Trevisan et al., 2015; Trevisan, Pini, et al., 2017) which have heretofore been simplistic and blocky.…”
Section: Introductionmentioning
confidence: 99%
“…Quantifying the local capillary trapped fraction has proved difficult as it depends on the exact geometry of the geologic depositional pattern (fabric), and the grain size contrast between depositional layers (Krishnamurthy et al., 2019; Meckel et al., 2017; Mishra & Haese, 2020). Numerical simulations have provided estimates of the effect of heterogeneities at different scales (Gershenzon et al., 2017; Jackson & Krevor, 2020; Shao et al., 2022; Trevisan, Krishnamurthy, & Meckel, 2017; Zahasky et al., 2020), but analogous laboratory experiments to corroborate these results have been lacking. Experiments have been limited to cores (Krishnamurthy et al., 2017; Manoorkar et al., 2021; Moreno & Rabinovich, 2021; Ni et al., 2019; Oh et al., 2015) where the depositional patterns are underrepresented due to size limitation (Huang et al., 1995; Ringrose & Bentley, 2015; Ringrose et al., 1993), and/or intermediate scale physical models (Trevisan et al., 2014; Trevisan et al., 2015; Trevisan, Pini, et al., 2017) which have heretofore been simplistic and blocky.…”
Section: Introductionmentioning
confidence: 99%
“…This integration can enhance the accuracy and coverage of the plume's advancement assessment. Integrating these methods to corroborate findings increases the overall accuracy and understanding of CO 2 plume behavior [8,9]. In this research, we integrated data from an observation well with time-lapse inversion.…”
Section: Introductionmentioning
confidence: 92%
“…Some regions of the aquifer may have higher permeability and porosity, making them more susceptible to pressure changes and CO 2 migration. Understanding the geology of the aquifer is essential for predicting and managing pressure-related impacts [117].…”
Section: Co 2 Plume Migrationmentioning
confidence: 99%