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 on given measurements are decomposed via Karhunen–Loève decomposition. Combined with the conditional eigenvalues and eigenfunctions of random variables, we conduct a series of numerical simulations using stochastic transient water–oil flow model (Chen et al. in Water Resour Res 42:W03425, 2006) based on the KLME approach to investigate how the number and location of measurement points, different random soil properties, as well as the correlation length of the random soil properties, affect the stochastic behavior of water and oil flow in heterogeneous porous media.
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References
Abriola L (1989) Modeling multiphase migration of organic chemicals in groundwater systems—a review and assessment. Environ Health Perspect 83:117–143
Abriola L, Pinder G (1985) A multiphase approach to the modeling of porous media contamination by organic compounds: 1: equation development. Water Resour Res 21(1):11–18
Chen M, Zhang D, Keller AA, Lu Z (2005) A stochastic analysis of steady state two-phase flow in heterogeneous media. Water Resour Res 41:w01006, doi:10.1029/2004WR003412
Chen M, Keller AA, Zhang D, Lu Z, Zyvoloski GA (2006) A Stochastic analysis of transient two-phase flow in heterogeneous porous media. Water Resour Res 42:W03425, doi:10.1029/2005WR004257
Dagan G (1982) Stochastic modeling of groundwater flow by unconditional and conditional probabilities: 1. Conditional simulation and the direct problem. Water Resour Res 18(4):813–833
Dagan G (1989) Flow and transport in porous formations. Springer, New York
Gelhar W (1993) Stochastic subsurface hydrology. Prentice-Hall, Englewood Cliffs
van Genuchten M (1980) A closed form solution for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44: 892–898
Ghanem R, Dham S (1998) Stochastic finite element analysis for multiphase flow in heterogeneous porous media. Transport Porous Media 32:239–262
Ghanem R and Spanos D (1991) Stochastic finite elements: a spectral approach. Springer, New York
Guadagnini A, Neuman SP (1999a) Nonlocal and localized analyses of conditional mean steady-state flow in bounded, randomly nonuniform domains: 1. Theory and computational approach. Water Resour Res 35(10):2999–3018
Guadagnini A, Neuman SP (1999b) Nonlocal and localized analyses of conditional mean steady-state flow in bounded, randomly nonuniform domains: 2. Computational examples. Water Resour Res 35(10): 3019–3039
Karhunen K (1947) Uber lineare methoden in der wahrschein-lichkeitsrechnung. Am Acad Sci, Fennicade, Ser. A, I, Vol 37, 3–79, (Translation: RAND Corporation, Santa Monica, California, Rep. T-131, August 1960)
Loeve M (1948) Fonctions aleatorires du second ordre, supplement to P. Levy. Processus Stochastic et Mouvement Brownien, Paris, Gauthier, Villars
Lu Z, Neuman SP, Guadagnini A, and Tartakovsky DM (2002) Conditional moment analysis of steady state unsaturated flow in bounded, randomly heterogeneous soils. Water Resour Res 38(4) doi:10.1029/2001WR000278
Lu, Z and Zhang D (2004) Conditional simulations of flow in randomly heterogeneous porous media using a KL-based moment-equation approach. Adv Water Resour 27:859–874
Tartakovsky DM, Neuman SP, and Lu Z (1999) Conditional stochastic averaging of steady state unsaturated flow by means of Kirchhoff transformation. Water Resour Res 35(3):731–745
Yang J, Zhang D, and Lu Z (2004) Stochastic analysis of saturated–unsaturated flow in heterogeneous media by combing Karhunene–Loeve expansion and perturbation method. J Hydrol 29: 418–38
Zhang D (2002) Stochastic methods for flow in porous media: coping with uncertainties. Academic, San Diego ISBN: 012-7796215
Zhang D, and Lu Z (2004) Evaluation of higher-order moments for saturated flow in randomly heterogeneous media via Karhunen–Loeve decomposition. J Comput Phys 194(2):773–794
Acknowledgment
The authors would like to acknowledge the funding from the oil shale project cooperated between Chevron Energy Technology Company and Los Alamos National Laboratory.
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Chen, M., Lu, Z. & Zyvoloski, G.A. Conditional simulations of water–oil flow in heterogeneous porous media. Stoch Environ Res Risk Assess 22, 587–596 (2008). https://doi.org/10.1007/s00477-007-0178-2
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DOI: https://doi.org/10.1007/s00477-007-0178-2