PERCOLATION BASED TECHNIQUES FOR UPSCALING THE HYDRAULIC CONDUCTIVITY
Upscaling of the effective hydraulic conductivity of a semi-realistic geologic media
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Three schemes were tested for upscaling the hydraulic conductivity (K) on aquifers with bimodal K distributions. This bimodality (e.g., sand and mud deposits) was intended to capture typical geological conditions. Results were tested with a numerical model. Upscaling techniques used were inspired by schemes interpolating between arithmetic and harmonic means, but are based on percolation theory: 1) Critical Path Analysis (CPA), 2) Percolation Path Analysis (PPA, or standard scaling), and a novel scaling approach. Models chosen were both spatially correlated and uncorrelated, with important dif...
Three schemes were tested for upscaling the hydraulic conductivity (K) on aquifers with bimodal K distributions. This bimodality (e.g., sand and mud deposits) was intended to capture typical geological conditions. Results were tested with a numerical model. Upscaling techniques used were inspired by schemes interpolating between arithmetic and harmonic means, but are based on percolation theory: 1) Critical Path Analysis (CPA), 2) Percolation Path Analysis (PPA, or standard scaling), and a novel scaling approach. Models chosen were both spatially correlated and uncorrelated, with important differences in critical percolation probabilities, Pc. Volume fractions Ps and 1-Ps (with Ps = sand volume fraction) were assigned to each mode of the distribution of K. The requirement for the application for CPA is to interpolate smoothly between the parallel and series configurations makes it satisfactory only for Ps Pc. PPA generally underestimates K. The novel scaling technique has the widest generality.
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