This work outlines an improved method of generating anisotropic fractal property maps using Fourier techniques. These maps are used as input data to enable the numerical prediction of large scale dispersivity behaviour of miscible flooding in vertical cross sections. By varying the ratio of inter-layer as opposed to intra-layer variation, the impact of layering can be assessed. Results suggest that when the ratio of horizontal to vertical variance of property values is low, that the benefit of fine scale conditional simulation is often due to the improved resolution of layering alone.

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