Proceedings of SPE Annual Technical Conference and Exhibition 2004
DOI: 10.2523/89921-ms
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Impact of Relative Permeability Hysteresis on the Numerical Simulation of WAG Injection

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Cited by 42 publications
(53 citation statements)
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“…5,6 In the context of combined injections of CO 2 and brine (WAG process) or in Huff&Puff process, it is also important to account for the cycle hysteresis mechanisms, where one cycle is defined as a drainage followed by an imbibition. 7,8,9,10 To move from the pore to the core scale (or Darcy's scale), these physical mechanisms are taken into account in numerical models through macroscopic data parameterized by reservoir engineers. It mainly consists in -the capillary pressure (P c ) curve, -the relative permeability (k r ) curves, -a hysteresis model between drainage and imbibition processes.…”
Section: Spe 102308mentioning
confidence: 99%
“…5,6 In the context of combined injections of CO 2 and brine (WAG process) or in Huff&Puff process, it is also important to account for the cycle hysteresis mechanisms, where one cycle is defined as a drainage followed by an imbibition. 7,8,9,10 To move from the pore to the core scale (or Darcy's scale), these physical mechanisms are taken into account in numerical models through macroscopic data parameterized by reservoir engineers. It mainly consists in -the capillary pressure (P c ) curve, -the relative permeability (k r ) curves, -a hysteresis model between drainage and imbibition processes.…”
Section: Spe 102308mentioning
confidence: 99%
“…However, adapting capillary pressure between oil and brine caused serious convergence problems. Additionally, both Aziz and Settari (1979) and Spiteri and Juanes (2006) pointed out that the effects of capillary pressures are often negligible in field-scale simulation, where the characteristic capillary length is much smaller than the grid resolution. Therefore, the effect of capillary pressure between oil and brine were neglected in this work.…”
Section: Relative Permeability and Capillary Pressurementioning
confidence: 99%
“…Hysteresis needs to be modelled accurately to obtain reliable recovery predictions. Yet, the many different empirical trapping and hysteresis models that are available in modern reservoir simulations yield very different recovery forecasts (Spiteri & Juanes 2006). Although the effect of hysteresis decreases with increasing reservoir heterogeneity in carbonate reservoirs, it is not negligible (Agada & Geiger 2014).…”
Section: Background and Challengesmentioning
confidence: 99%