Identifying the Optimal Path and Computing the Threshold Pressure for Flow of Bingham Fluids Through Heterogeneous Porous Media

Didari, Hamid; Aghdasinia, Hassan; Hosseini, Mahdi; Ebrahimi, Fatemeh; Sahimi, Muhammad

doi:10.1007/s11242-020-01503-z

Cited by 6 publications

(6 citation statements)

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“…the and polymer-porous media interactions will provide information when attempting to design a thermo-thickening polymer system more suitable for this purpose. Future pore net-work modelling, as described for complex fluids by for instance Didari et al [8] and Lopez et [21] and pore scale molecular dynamics simulations of polymer chains in confined spaces as described by Palmer et al [24] may reveal valuable information in this regard.…”

Section: Discussionmentioning

confidence: 99%

Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature

2022

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Above a critical temperature, thermo-thickening associative polymers (TAPs) have a superior ability to decrease the mobility of the water phase, compared to traditional polymers for enhanced oil recovery. The ability to decrease the mobility, will be amplified at low flow velocities, and by the presence of salt, and is much higher in porous media than would be expected from bulk viscosity. In this work, we have examined TAPs ability to reduce the mobility, i.e., to increase the resistance factor. We have studied the effect of increasing the associative content, changing the porous media, changing the salinity, and scaling up the size of the porous media. How the resistance factor evolved, was studied as a function of temperature, velocity, and time. We found that a critical associative content or critical concentration of polymer was needed to achieve thermo-thickening in the porous media. As expected, thermo-thickening increased by increasing the salinity. For the relative homogenous clastic porose media investigated here, ranging from ~ 1Darcy sandstone to multidarcy sand, type of porous media did not seem to have a significant impact on the resistance factor. Time and amount of polymer injected is a critical factor: The buildup of thermo-thickening is delayed compared to the polymer front. For our tests with the weaker systems, we also observed a breakdown of the associative network at very low injection rates, possibly caused by the formation of intramolecular association. Article highlights Key findings from our tests of thermo-thickening associative polymer for enhance oil recovery operations: At high temperature, the polymer solutions mobility in porous media is much lower than expected from viscosity At low temperature, the flow behavior is like that of a traditional synthetic polymer This will mean good injectivity and superior sweep, compared to a traditional polymer for enhanced oil recovery

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Section: Discussionmentioning

confidence: 99%

Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature

2022

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“…(2020) addressed the impact of fluid rheology and pore connectivity on the permeability, while Didari et al. (2020) studied the flow of a more complex non‐Newtonian fluid, the Bingham model, in a 3D PN model. Pearson and Tardy (2002) reviewed models of single and multiphase transport in non‐Newtonian fluid through porous media and concluded that PN models provide the most reliable estimates of various properties.…”

Section: Introductionmentioning

confidence: 99%

“…Balhoff and Thompson (2004) studied the flow of guar gum solution in a PN model of packed beds, while Sochi (2007) simulated single-phase flow of three types of non-Newtonian fluids and stated that the ST accentuates the effect of the heterogeneity. Using a 3D PN, Xiong et al (2020) addressed the impact of fluid rheology and pore connectivity on the permeability, while Didari et al (2020) studied the flow of a more complex non-Newtonian fluid, the Bingham model, in a 3D PN model. Pearson and Tardy (2002) reviewed models of single and multiphase transport in non-Newtonian fluid through porous media and concluded that PN models provide the most reliable estimates of various properties.…”

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confidence: 99%

Upscaling Hydrodynamic Dispersion in Non‐Newtonian Fluid Flow Through Porous Media

Sahimi

Niasar

2022

Water Resources Research

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Heat and solute transport in flow through porous media is encountered in many problems of fundamental scientific significance, as well as in various applications (Chen et al., 2021;Dentz et al., 2011;Sahimi, 1993;Simmons et al., 2001). Examples include contaminant transport in groundwater flow, enhanced oil recovery, packed-bed chemical reactors, and saltwater intrusion into groundwater aquifers. Up until now, however, studies of solute transport have been limited to those problems in which the solvent or the flowing fluid was Newtonian, with very scant attention paid to the case of transport through a non-Newtonian fluid. The solute and heat transfer in flow of non-Newtonian fluids through porous media is, however, encountered in numerous subsurface engineering and geosystems, such as polymer flooding to transport oxidants for groundwater remediation (

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“…In fact, non‐uniform flow fields can develop in porous media at any scale, provided that sufficiently strong spatial variations of permeability exist at that scale. In particular, pore‐scale preferential flow paths form in statistically stationary porous media owing to spatial fluctuations of pore size and connectivity (Adler, 1992; Adler & Berkowitz, 2000; Blunt, 2001; David, 1993; Bruderer‐Weng et al., 2004; Dai & Seol, 2014; Dullien, 1992; Fedorov & Adler, 2005; Moctezuma‐Berthier et al., 2004; see also Didari et al., 2020, in the case of non‐Newtonian fluid flow). As in reservoir‐scale flow, a greater non‐uniformity of the pore‐scale flow field is associated with enhanced dispersion of solute transport (Bernabé, Li, et al., 2015; Bernabé, Wang, et al., 2015; Bijeljic & Blunt, 2006; Kang et al., 2015; Li et al., 2018; Sahimi et al., 1986) and multi‐phase flow fingering (Blunt et al., 1992; Holtzman, 2016; Regaieg & Moncorgé, 2017; Tang et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…; see also Didari et al, 2020, in the case of non-Newtonian fluid flow). As in reservoir-scale flow, a greater non-uniformity of the pore-scale flow field is associated with enhanced dispersion of solute transport Bernabé, Wang, et al, 2015;Bijeljic & Blunt, 2006;Kang et al, 2015;Li et al, 2018;Sahimi et al, 1986) and multi-phase flow fingering (Blunt et al, 1992;Holtzman, 2016;Tang et al, 2020).…”

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confidence: 97%

Fluid Flow Concentration on Preferential Paths in Heterogeneous Porous Media: Application of Graph Theory

et al. 2021

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It is well documented that fluid flow in aquifers and hydrocarbon reservoirs is non-uniformly distributed (Bear, 1972;Gelhar, 1993;Sahimi, 2011). At the reservoir scale, the flow field shows low flow regions (sometimes nearly stagnant) interspersed with high flow pathways (Bianchi et al., 2011;Moreno & Tsang, 1994). Concentrated flow is often associated with strong permeability heterogeneities, in particular large-scale features such as fractures (Berkowitz, 2002;Paillet, 1998), high-permeability layers, alluvial braided channels (Webb & Anderson, 1996), and so forth. The existence of preferential flow paths has a strong impact on solute transport and displacement of immiscible fluids at the reservoir scale (

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Identifying the Optimal Path and Computing the Threshold Pressure for Flow of Bingham Fluids Through Heterogeneous Porous Media

Cited by 6 publications

References 54 publications

Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature

Flow behavior of thermo-thickening associative polymers in porous media: effects of associative content, salinity, time, velocity, and temperature

Upscaling Hydrodynamic Dispersion in Non‐Newtonian Fluid Flow Through Porous Media

Fluid Flow Concentration on Preferential Paths in Heterogeneous Porous Media: Application of Graph Theory

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