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Geological Variables Fitting in Normal Distribution and Application in Indicator Geostatistical Methods

For geostatistical mapping, normal distribution is the base for matrices operations. Such methods, as the first step, perform normal transformation wherever it is possible. Also, it helps if the original data transformed in indicators and selected in classes approximately follow Gaussian distribution. Examples are presented where (a) classes are of the same size and (b) classes are narrower around median value. In both cases, normal distributed classes of original data (reservoir thickness) are transformed in indicators (0 and 1) and mapped with indicator kriging (IK) and sequential indicator simulations (SIS).

geological variables; normal distribution; indicator kriging; sequential indicator simulations; sandstone reservoirs; Upper Pannonian; Lower Pontian

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