Dispersion characteristics of CO2 enhanced gas recovery over a wide range of temperature and pressure

Liu, Shezhan; Zhang, Yi; Zhao, Jiafei; Jiang, Lanlan; Song, Yongchen

doi:10.1016/j.jngse.2019.103056

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…( 4) to the experimental results permit the dispersivity (α) to be evaluated for the two temperatures considered for the Bentheimer sandstone plug. For 30 and 40 0C of temperature, α = 0.00222, and 0.002265 m, and these results are within the range reported for sandstones by (Coats et al, 2009;Schulze-Makuch, 2005;Liu et al, 2020), although for the 40 0 C temperature, the dispersivity recorded was slightly higher, though lower than that presented according to (Brigham et al, 1974).…”

Section: Effect Of Temperature On Dispersivitysupporting

confidence: 86%

Investigating the flow behaviour of CO2 and N2 in porous medium using core flooding experiment

Mohammed

Abbas

Enyi

et al. 2022

Journal of Petroleum Science and Engineering

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Section: Effect Of Temperature On Dispersivitysupporting

confidence: 86%

Investigating the flow behaviour of CO2 and N2 in porous medium using core flooding experiment

Mohammed

Abbas

Enyi

et al. 2022

Journal of Petroleum Science and Engineering

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“…(2020), Jouybari, Lundström & Hellström (2020) and Liu et al. (2020 b ). It is sometimes also referred to as thermal dispersion for heat transfer problems (Pedras & de Lemos 2008), or mass dispersion for mass transfer problems (Mesquita & de Lemos 2004).…”

Section: Introductionmentioning

confidence: 97%

“…Mijic, Laforce & Muggeridge (2014) and Das et al (2016) included the Forchheimer term in their models to account for the effect of turbulence. In recent years, increasing attention has been paid to hydrodynamic dispersion in porous media; see Hidalgo & Carrera (2009), Ghesmat, Hassanzadeh & Abedi (2011), Yang & Vafai (2011), MacMinn et al (2012, Wang et al (2016), Liang et al (2018), Wen, Chang & Hesse (2018b), Fahs et al (2020), Jouybari, Lundström & Hellström (2020 and Liu et al (2020b). It is sometimes also referred to as thermal dispersion for heat transfer problems (Pedras & de Lemos 2008), or mass dispersion for mass transfer problems (Mesquita & de Lemos 2004).…”

Section: Introductionmentioning

confidence: 99%

A macroscopic two-length-scale model for natural convection in porous media driven by a species-concentration gradient

et al. 2021

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The modelling of natural convection in porous media is receiving increased interest due to its significance in environmental and engineering problems. State-of-the-art simulations are based on the classic macroscopic Darcy–Oberbeck–Boussinesq (DOB) equations, which are widely accepted to capture the underlying physics of convection in porous media provided the Darcy number, $Da$ , is small. In this paper we analyse and extend the recent pore-resolved direct numerical simulations (DNS) of Gasow et al. (J. Fluid Mech, vol. 891, 2020, p. A25) and show that the macroscopic diffusion, which is neglected in DOB, is of the same order (with respect to $Da$ ) as the buoyancy force and the Darcy drag. Consequently, the macroscopic diffusion must be modelled even if the value of $Da$ is small. We propose a ‘two-length-scale diffusion’ model, in which the effect of the pore scale on the momentum transport is approximated with a macroscopic diffusion term. This term is determined by both the macroscopic length scale and the pore scale. It includes a transport coefficient that solely depends on the pore-scale geometry. Simulations of our model render a more accurate Sherwood number, root mean square (r.m.s.) of the mass concentration and r.m.s. of the velocity than simulations that employ the DOB equations. In particular, we find that the Sherwood number $Sh$ increases with decreasing porosity and with increasing Schmidt number $(Sc)$ . In addition, for high values of $Ra$ and high porosities, $Sh$ scales nonlinearly. These trends agree with the DNS, but are not captured in the DOB simulations.

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“…Some of the investigated factors/parameters include the effects of injected CO2 purity on the displacement process during EGR (Nogueira and Mamora, 2005;A. T. Turta et al, 2007), reservoir heterogeneity (Honari et al, 2015;S Sim et al, 2009), injection orientation and petrophysical properties variation (Abba et al, 2018a;Abba et al, 2019b;Liu et al, 2015Liu et al, , 2018Sim Sim et al, 2009;Zhang et al, 2014), injection rates (Hughes et al, 2012), temperature and pressure (Liu et al, 2020), relative permeability and sweep efficiency (Al-Abri et al, 2012), connate water presence and salinity (Abba et al, 2018b;Honari et al, 2016). Understanding these parameters as they relate to the insitu mixing between the gases and their interaction with the porous media is vital to a successful implementation and adoption of any CO2-EGR process.…”

Section: Introductionmentioning

confidence: 99%

Enhanced gas recovery by CO2 injection: Influence of monovalent and divalent brines and their concentrations on CO2 dispersion in porous media

Abba

2020

Journal of Natural Gas Science and Engineering

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This study aims to experimentally investigate the roles of different brine types and concentrations on the longitudinal dispersion coefficient (KL) during enhanced gas recovery by CO2 injection. Core flooding process was used to simulate the displacement of CH4 by supercritical CO2 in a Buff Berea core sample at a pressure and temperature of 1400 psig and 50 o C respectively, and a CO2 injection rate of 0.3 ml/min. Individual NaCl, KCl, CaCl2 and MgCl2 solutions were prepared as test brines with ionic strengths (IS) of 1M, 2M, and 3M. The results revealed that, at lower IS of 1M, MgCl2 and CaCl2 brines had the lowest KL while the monovalent brines showed relatively higher KL. Divalent brines showed a higher degree of salting out effects at higher concentrations resulting in higher KL. The salting and drying out effects of divalent brines were responsible for higher CH4 recovery at 2M IS as CH4 comes out of solution. A hyperbolic-type relationship exists between the two properties (KL and IS), where KL decreases from 0 to 1M IS, and then increases sharply at IS >1Mthis behaviour is most pronounced in the divalent brines. Lowest contamination of the recovered CH4 was found to be between formation water salinities of 5-15 wt.%, regardless of salt type, during EGR by CO2 injection and sequestration. This study will not only present new knowledge on EGR process but will also provide an avenue for establishing a screening criterion based on formation water salinity for effective EGR process. This is a first experimental investigation which establishes the relationship between salt types and concentration and the KL in porous media.

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Dispersion characteristics of CO2 enhanced gas recovery over a wide range of temperature and pressure

Cited by 13 publications

References 30 publications

Investigating the flow behaviour of CO2 and N2 in porous medium using core flooding experiment

Investigating the flow behaviour of CO2 and N2 in porous medium using core flooding experiment

A macroscopic two-length-scale model for natural convection in porous media driven by a species-concentration gradient

Enhanced gas recovery by CO2 injection: Influence of monovalent and divalent brines and their concentrations on CO2 dispersion in porous media

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