Abstract:We study the effect of local wettability reversal on remobilizing immobile fluid clusters in steady-state two-phase flow in porous media. We consider a two-dimensional network model for a porous medium and introduce a wettability alteration mechanism. A qualitative change in the steady-state flow patterns, destabilizing the percolating and trapped clusters, is observed as the system wettability is varied. When capillary forces are strong, a finite wettability alteration is necessary to move the system from a s… Show more
“…Moreover, increase in F is higher for the lower capillary number, indicating that wettability alteration is very significant in the case of oil recovery, as Ca can go as low as 10 −6 in the reservoir pores. Fractional flow also obeys the symmetry relation F ′ (S) = 1 − F (1 − S) [23] which implies that, if the wetting angle of any pore is allowed to change all way down to zero degree (θ = 0 • ), the system will eventually become pure water-wet with time.…”
The change in contact angles due to the injection of low salinity water or any other wettability altering agent in an oil-rich porous medium is modeled by a network model of disordered pores transporting two immiscible fluids. We introduce a dynamic wettability altering mechanism, where the time dependent wetting property of each pore is determined by the cumulative flow of water through it. Simulations are performed to reach steady-state for different possible alterations in the wetting angle (θ). We find that deviation from oil-wet conditions re-mobilizes the stuck clusters and increases the oil fractional flow. However, the rate of increase in the fractional flow depends strongly on θ and as θ → 90 • , a critical angle, the system shows critical slowing down which is characterized by two dynamic critical exponents.
“…Moreover, increase in F is higher for the lower capillary number, indicating that wettability alteration is very significant in the case of oil recovery, as Ca can go as low as 10 −6 in the reservoir pores. Fractional flow also obeys the symmetry relation F ′ (S) = 1 − F (1 − S) [23] which implies that, if the wetting angle of any pore is allowed to change all way down to zero degree (θ = 0 • ), the system will eventually become pure water-wet with time.…”
The change in contact angles due to the injection of low salinity water or any other wettability altering agent in an oil-rich porous medium is modeled by a network model of disordered pores transporting two immiscible fluids. We introduce a dynamic wettability altering mechanism, where the time dependent wetting property of each pore is determined by the cumulative flow of water through it. Simulations are performed to reach steady-state for different possible alterations in the wetting angle (θ). We find that deviation from oil-wet conditions re-mobilizes the stuck clusters and increases the oil fractional flow. However, the rate of increase in the fractional flow depends strongly on θ and as θ → 90 • , a critical angle, the system shows critical slowing down which is characterized by two dynamic critical exponents.
“…However, on a wettability patterned surface, the liquid film is modulated by the surface wetting/non-wetting energy which modify the instability wavelength. According to Sinha et al [37], a change in the system wettability causes a perturbation in the system's flow pattern to destabilize any percolating and trapped immobile clusters appeared in the steady state. This implied that the perturbation of wettability patterns may affect the bubble departure diameter and frequency.…”
Section: Bubble Interaction and Unique Shapesmentioning
“…These experimental findings show the importance of understanding the effect of wettability even further, which is easier to do through analytical and numerical studies where large range of wetting conditions can be examined in short time. In the papers by Sinha et al (2011) and Flovik et al (2015), pore network models similar to the one used in the present article were used to investigate the effect of wettability alteration due to changes in salinity in oil-brine mixtures. The wettability alterations were done by changing between either complete wetting and complete non-wetting conditions in the first article (Sinha et al 2011), and by changing the wetting angles continuously between two limits depending on the cumulative flow of the wetting phase in the second article (Flovik et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…In the papers by Sinha et al (2011) and Flovik et al (2015), pore network models similar to the one used in the present article were used to investigate the effect of wettability alteration due to changes in salinity in oil-brine mixtures. The wettability alterations were done by changing between either complete wetting and complete non-wetting conditions in the first article (Sinha et al 2011), and by changing the wetting angles continuously between two limits depending on the cumulative flow of the wetting phase in the second article (Flovik et al 2015). The results from both show that local alterations of the wettability introduce qualitative changes in the flow patterns by destabilizing the trapped clusters.…”
Immiscible two-phase flow in porous media with mixed wet conditions was examined using a capillary fiber bundle model, which is analytically solvable, and a dynamic pore network model. The mixed wettability was implemented in the models by allowing each tube or link to have a different wetting angle chosen randomly from a given distribution. Both models showed that mixed wettability can have significant influence on the rheology in terms of the dependence of the global volumetric flow rate on the global pressure drop. In the capillary fiber bundle model, for small pressure drops when only a small fraction of the tubes were open, it was found that the volumetric flow rate depended on the excess pressure drop as a power law with an exponent equal to 3/2 or 2 depending on the minimum pressure drop necessary for flow. When all the tubes were open due to a high pressure drop, the volumetric flow rate depended linearly on the pressure drop, independent of the wettability. In the transition region in between where most of the tubes opened, the volumetric flow depended more sensitively on the wetting angle distribution function and was in general not a simple power law. The dynamic pore network model results also showed a linear dependence of the flow rate on the pressure drop when the pressure drop is large. However, out of this limit the dynamic pore network model demonstrated a more complicated behavior that depended on the mixed wettability condition and the saturation. In particular, the exponent relating volumetric flow rate to the excess pressure drop could take on values anywhere between 1.0 and 1.8. The values of the exponent were highest for saturations approaching 0.5, also, the exponent generally increased when the difference in wettability of the two fluids were larger and when this difference was present for a larger fraction of the porous network.
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