Geostatistical conditional fractal simulation with irregularly spaced data

D.j Kentwell, L.m Bloom and G.a Comber

Mathematics and Computers in Simulation (MATCOM), 1999, vol. 48, issue 4, 447-456

Abstract: Using the model of fractional Brownian motion a method is given for carrying out conditional simulations on a sparse irregularly spaced data set. The method, on an average, maintains not only the fractal co-dimension but also the histogram, mean, variance and spatial correlation of a two-dimensional random field. The method can be implemented in the same way as either sequential Gaussian simulation or LU decomposition and does not require the use of spectral functions. A sequential Gaussian example is given using the widely published Berea sandstone data set.

Keywords: Fractal simulation; Fractional Brownian motion; Geostatistical simulation (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:48:y:1999:i:4:p:447-456

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