2004
Regionalized variables which do not obey stationary hypothesis exhibit drift in calculation of experimental variogram. No model variogram which is mandatory for structural analysis can be fitted and generalized covariances are to be identified to select model parameters. This limitation of conventional geostatistical technique has been resolved by advanced geostatistical nonstationary modelling approach. This technique has been applied to draw structural inferences on the Top of lithofacies in the area of study with the integration of optimal polynomial drift and best combination of structure for the constitution of generalized covariances. These functions were cross validated to cross check the model and data informations. The selected generalized functions were used in the modelling process. The purpose of this paper is to present a methodology of identification and application of non-stationary geostatistical technique as a useful tool for precise modelling of subsurface.
non-stationary, regionalized, variables, modelling, geostatistical, drift, optimal, estimator