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• W1623163567 abstract "A hierarchical, network-type, dynamic simulator of the immiscible displacement of water by oil in heterogeneousporous media is developed to simulate the rate-controlled displacement of two fluids at the soil column scale.A cubic network is constructed, where each node is assigned a permeability which is chosen randomly from adistribution function. The intensity of heterogeneities is quantified by the width of the permeability distributionfunction. The capillary pressure at each node is calculated by combining a generalized Leverett J-function with aCorey type model.Information about the heterogeneity of soils at the pore network scale is obtained by combining mercury intrusionporosimetry (MIP) data with back-scattered scanning electron microscope (BSEM) images [1]. In order toestimate the two-phase flow properties of nodes (relative permeability and capillary pressure functions, perme-ability distribution function) immiscible and miscible displacement experiments are performed on undisturbedsoil columns. The transient responses of measured variables (pressure drop, fluid saturation averaged over fivesuccessive segments, solute concentration averaged over three cross-sections) are fitted with models accountingfor the preferential flow paths at the micro- (multi-region model) and macro-scale (multi flowpath model) becauseof multi-scale heterogeneities [2,3].Simulating the immiscible displacement of water by oil (drainage) in a large netork, at each time step, thefluid saturation and pressure of each node are calculated formulating mass balances at each node, accountingfor capillary, viscous and gravity forces, and solving the system of coupled equations. At each iteration of thealgorithm, the pressure drop is so selected that the total flow rate of the injected fluid is kept constant. Thedynamic large-scale network simulator is used (1) to examine the sensitivity of the transient responses of the axialdistribution of fluid saturation and total pressure drop across the network to the permeability distribution function,spatial correlations of permeability, and capillary number, and (2) to estimate the effective (up-scaled) relativepermeability functions at the soil column scale.In an attempt to clarify potential effects of the permeability distribution and spatial permeability correlations onthe transient responses of the pressure drop across a soil column, signal analysis with wavelets is performed [4]on experimental and simulated results. The transient variation of signal energy and frequency of pressure dropfluctuations at the wavelet domain are correlated with macroscopic properties such as the effective water and oilrelative permeabilities of the porous medium, and microscopic properties such as the variation of the permeabilitydistribution of oil-occupied nodes. Toward the solution of the inverse problem, a general procedure is suggestedto identify macro-heterogeneities from the fast analysis of pressure drop signals.References1. Tsakiroglou, C.D. and M.A. Ioannidis, “Dual porosity modeling of the pore structure and transport propertiesof a contaminated soil”, Eur. J. Soil Sci., 59, 744-761 (2008).2. Aggelopoulos, C.A., and C.D. Tsakiroglou, “Quantifying the Soil Heterogeneity from Solute DispersionExperiments”, Geoderma, 146, 412-424 (2008).3. Aggelopoulos, C.A., and C.D. Tsakiroglou, “A multi-flow path approach to model immiscible displacement inundisturbed heterogeneous soil columns”, J. Contam. Hydrol., in press (2009)." @default.
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• W1623163567 date "2009-04-01" @default.
• W1623163567 modified "2023-09-23" @default.
• W1623163567 title "Experimental techniques and computational methods toward the estimation of the effective two-phase flow coefficients and multi-scale heterogeneities of soils" @default.
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