A decision support system for variogram calculation

The variogram model used in estimation and/or simulation is unquestionably important. Quantifying and assessing the variogram model with less uncertainty result in reasonable models and simulations. In real case when the true variogram is not known, the only thing that can help us to quantify the true variogram with associated uncertainty is our data. In the case of regularly gridded data calculating experimental variogram is much easier than the case of irregular data set; in this latter case some tolerance parameters should be defined to have enough data pairs for calculating a reliable variogram.; These tolerance parameters can be optimized by minimizing a well defined penalty function that accounts for the difference in the fitted variogram and the assumed to be true variogram. This work gives a reasonable tool to assess the experimental variogram with less uncertainty.