2015
DOI: 10.1016/j.ijggc.2015.04.014
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Enhanced gas recovery with CO2 sequestration: The effect of medium heterogeneity on the dispersion of supercritical CO2–CH4

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Cited by 69 publications
(50 citation statements)
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“…Four values of ξ (0.5, 0.6, 0.7, and 0.8) are chosen. The value of 0.5 is consistent with the estimations of Soler‐Sagarra et al () for carbonate‐rich core samples, and the value of 0.8 is consistent with the fitting results of experiments in Honari et al (), which obtained 20% immobile fraction for Ketton carbonate at Pe = 0.2 (which is typical of Péclet number for convective dissolution). As reported in Table , 96 simulation cases are defined with varying degrees of geochemical reaction rate, mobile fractions of the porous media and mobile‐immobile transfer coefficients.…”
Section: Simulation Parameterssupporting
confidence: 90%
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“…Four values of ξ (0.5, 0.6, 0.7, and 0.8) are chosen. The value of 0.5 is consistent with the estimations of Soler‐Sagarra et al () for carbonate‐rich core samples, and the value of 0.8 is consistent with the fitting results of experiments in Honari et al (), which obtained 20% immobile fraction for Ketton carbonate at Pe = 0.2 (which is typical of Péclet number for convective dissolution). As reported in Table , 96 simulation cases are defined with varying degrees of geochemical reaction rate, mobile fractions of the porous media and mobile‐immobile transfer coefficients.…”
Section: Simulation Parameterssupporting
confidence: 90%
“…It was assumed the porous media is partitioned into two regions: a mobile (flowing/fracture) region and an immobile (stagnant/matrix) region. Such a partitioning due to pore scale heterogeneity and localization of reactions has been observed in the experimental core‐scale CO 2 injection and dispersion studies (Honari et al, ; Soler‐Sagarra et al, ).…”
Section: Discussionmentioning
confidence: 62%
“…So-called 'inhomogeneity factors' have been introduced to account for this increased dispersivity when using the Fickian advection-dispersion model described above (Brigham, Reed & Dew 1961;Perkins & Johnston 1963). Not surprisingly, this empirical approach seems to work only in a limited number of instances (Honari et al 2015), while for most consolidated systems only a poor fit of the tracer elution history is achieved (Donaldson, Kendall & Manning 1976;Baker 1977). In those cases, the term 'non-Fickian' (or anomalous) dispersion is adopted to refer to the characteristic asymmetry and long-time tailing of the tracer effluent profiles measured from pulse-tracer tests during core floods (Dullien 1992).…”
Section: Laboratory Observations Of Miscible Displacements In Reservomentioning
confidence: 99%
“…To capture these effects, some authors have used dispersivity coefficients that increase with the distance travelled (Barry & Sposito 1989;Walsh & Withjack 1994), while others have invoked new physical mechanisms, such as the mass transfer between the flowing fluid and a given fraction of the pore volume that is assumed to be immobile (Coats & Smith 1964). The latter is often referred to as the 'capacitance model' and has found widespread use particularly in the petroleum literature (Donaldson et al 1976;Baker 1977;Bretz & Orr Jr 1987;Grattoni et al 1987;Honari et al 2015). The fact that structures where fluid stagnates are not readily found in many sandstones has led to the acknowledgment that anomalous transport in rock samples may instead originate from macroscopic heterogeneities, i.e.…”
Section: Laboratory Observations Of Miscible Displacements In Reservomentioning
confidence: 99%
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