Numerical Simulation of Foam Flooding in Porous Media in the Absence and Presence of Oleic Phase

Abstract : This paper presents a novel integrated approach for numerical simulation of foam core-flood experiments in the absence and presence of oil. The experiments consisted of the co-injection of gas and Alpha-Olefin Sulfonate (AOS) surfactant solution into Bentheimer sandstone samples initially saturated with the surfactant solution [see (Simjoo & Zitha, 2013)]. The foam model implemented is based on a local equilibrium and describes dependency of foam mobility reduction factor using several independent functions, such as liquid saturation, foam velocity, oil saturation and capillary number. First, a series of numerical simulation was conducted to investigate the effect of surfactant concentration on pressure drop across the core for the foam flooding in the absence of oil. To this end, the dry-out and gas velocity functions in the foam model were determined from the experimental data obtained at low and high-quality regimes of foam flow at a constant injection velocity. Next, pressure drop profiles of foam flooding at two different surfactant concentrations were modelled to determine the parameters of the surfactant-dependent function in the foam model. The simulation results fit the experimental data of pressure drops very well. Then, the numerical simulations investigated the oil displacement, by foam where the main goal was to determine the foam model parameters dedicated to the oil saturation-dependent function. The pressure drop across the core, oil-cut, and oil recovery factor were 2 modelled, and an excellent match was obtained between the pressure profile and the oil recovery obtained numerically compared with those obtained from the corresponding core-flood experiments.
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Submitted on : Friday, November 23, 2018 - 11:26:28 AM
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M. Hosseini-Nasab, F. Douarche, M. Simjoo, L. Nabzar, Bernard Bourbiaux, et al.. Numerical Simulation of Foam Flooding in Porous Media in the Absence and Presence of Oleic Phase. Fuel, Elsevier, 2018, 225, pp.655 - 662. ⟨10.1016/j.fuel.2018.03.027⟩. ⟨hal-01932672⟩

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