2018
DOI: 10.1038/s41598-018-33502-y
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The impact of drainage displacement patterns and Haines jumps on CO2 storage efficiency

Abstract: Injection of CO2 deep underground into porous rocks, such as saline aquifers, appears to be a promising tool for reducing CO2 emissions and the consequent climate change. During this process CO2 displaces brine from individual pores and the sequence in which this happens determines the efficiency with which the rock is filled with CO2 at the large scale. At the pore scale, displacements are controlled by the balance of capillary, viscous and inertial forces. We simulate this process by a numerical technique, m… Show more

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Cited by 48 publications
(34 citation statements)
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References 58 publications
(101 reference statements)
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“…Moreover, distal snap-off can potentially have a negative impact on the displacement efficiency, which is an extremely significant feature for CO 2 storage and hydrocarbon recovery, as it blocks the access to regions of the pore space that were accessible to the nonwetting phase prior the Haines jump event (Zacharoudiou et al, 2018). The average magnitude of the velocity for the wetting/nonwetting phase (dashed/solid red lines) and the inlet/outlet pressure difference for simulations with logM = 0, Oh = 1.3 × 10 −2 and varying Ca av : (a) Ca av = 3.1 × 10 −4 (u (a) in = 10 −4 ), (b) Ca av = 3.8 × 10 −5 (u (b) in = 10 −5 ), (c) Ca av = 1.0 × 10 −5 (u (c) in = 2 × 10 −6 ), and (d) Ca av = 1.0 × 10 −6 (u (d) in = 2 × 10 −7 ).…”
Section: Low Ca Av -Haines Jumps Regimementioning
confidence: 99%
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“…Moreover, distal snap-off can potentially have a negative impact on the displacement efficiency, which is an extremely significant feature for CO 2 storage and hydrocarbon recovery, as it blocks the access to regions of the pore space that were accessible to the nonwetting phase prior the Haines jump event (Zacharoudiou et al, 2018). The average magnitude of the velocity for the wetting/nonwetting phase (dashed/solid red lines) and the inlet/outlet pressure difference for simulations with logM = 0, Oh = 1.3 × 10 −2 and varying Ca av : (a) Ca av = 3.1 × 10 −4 (u (a) in = 10 −4 ), (b) Ca av = 3.8 × 10 −5 (u (b) in = 10 −5 ), (c) Ca av = 1.0 × 10 −5 (u (c) in = 2 × 10 −6 ), and (d) Ca av = 1.0 × 10 −6 (u (d) in = 2 × 10 −7 ).…”
Section: Low Ca Av -Haines Jumps Regimementioning
confidence: 99%
“…In a drainage situation, inertial effects can be also important over a transient amount of time, during Haines jump events (Armstrong & Berg, 2013; Armstrong et al, 2015; Berg et al, 2013; Zacharoudiou et al, 2018). During these sharp interfacial jumps, capillary forces accelerate the fluid interface, as it passes from a narrow restriction to a wider pore body, while initially inertial and viscous forces oppose the motion.…”
Section: Introductionmentioning
confidence: 99%
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“…In this way, large amounts of greenhouse gases in atmosphere can be sequestrated in deep geological formations (Bandara et al, 2011). However, during oil production, the occurrence of snap-off events should be avoided to maximize The region occupied by the non-wetting phase that remains unchanged during the event is shown in yellow, while the draining pore and locations of interfacial recession are shown in light blue and red respectively (Zacharoudiou et al, 2018). Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Drainage pore filling events previously observed in 2D experiments, such as Haines jump, snap-off, ganglion dynamics, cooperative pore filling and droplet fragmentation, can now be easily analyzed in a 3D system via such numerical simulation techniques. For instance, the fluid redistribution associated with Haines jumps and its effects on the displacement process in capillary fingering regimes are investigated by using multi-GPU free energy lattice Boltzmann simulations (Zacharoudiou et al, 2018). Their work demonstrated three main typical features associated with the Haines jumps: i) local (single pore) sharp increase in the non-wetting phase velocity, ii) localized sharp pressure drops and iii) extensive fluid redistribution.…”
Section: Local Interfacial Instabilities During Drainage: Numerical Smentioning
confidence: 99%