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This is the first of two articles intended to describe petroleum geostatistics for the nongeostatistician.
There are many misconceptions about geostatistics, what it is, and what it can or can't do for the petroleum industry.
The first article defines geostatistics, examines its origins, and reviews the spatial model and the kriging interpolation algorithm. the second article describes geostatistical conditional simulation and its use for uncertainty (risk) analysis.
Earth science data exhibit spatial correlation to greater or lesser degrees. As the distance between two data points increases, the similarity between the two measurements decreases. Geostatistics is a rapidly envolving branch of applied statistics and mathematics that offers a collection of tools which quantify and model spatial variability. Spatial variability includes scales of variability (heterogeneity) and directionality within data sets
gracias de antemano...
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