2007
DOI: 10.1007/s00477-007-0178-2
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Conditional simulations of water–oil flow in heterogeneous porous media

Abstract: This study is an extension of the stochastic analysis of transient two-phase flow in randomly heterogeneous porous media (Chen et al. in Water Resour Res 42:W03425, 2006), by incorporating direct measurements of the random soil properties. The log-transformed intrinsic permeability, soil pore size distribution parameter, and van Genuchten fitting parameter are treated as stochastic variables that are normally distributed with a separable exponential covariance model. These three random variables conditioned o… Show more

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Cited by 3 publications
(2 citation statements)
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“…In Zang and Lu (2004) and Chen et al (2008), the KL expansion of the covariance function in (10) was used to generate conditional log hydraulic conductivity field. However, the corresponding conditional covariance function is not spatially stationary.…”
Section: Conditioning By Krigingmentioning
confidence: 99%
“…In Zang and Lu (2004) and Chen et al (2008), the KL expansion of the covariance function in (10) was used to generate conditional log hydraulic conductivity field. However, the corresponding conditional covariance function is not spatially stationary.…”
Section: Conditioning By Krigingmentioning
confidence: 99%
“…The results of the oil displacement processes can be analyzed and matched with the computational simulations of porous media with multiphase flow for validating the transport phenomena in the oil-water-porous-medium systems [21][22][23]. In 2006, Behbahani et al published results of simulations of two-dimensional water systems embedded in a heterogeneous porous medium displacing oil, comparing the simulation with experimental results [24].…”
Section: Introductionmentioning
confidence: 99%