Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...

Variograms are important tools in the spatial distribution of facies and petrophysical properties. Due to the scarcity of subsurface well data, both spatially and quantity wise, variograms ...

Abstract: This paper introduces the basic concept, theoretical model and parameter meaning of experimental variogram, which is a basic tool of geostatistics. From the two aspects of singular value and ...

Geostatistics belongs to the wide class of statistical methods. It is used and applied to analyze and predict the values associated with spatial or spatio-temporal phenomena such as seismological ...

Welcome to this Git repository containing a Tutorial for HYD273 students: Introduction to Geostatistics: Statistical treatment of spatial data with hydrologic emphasis. Topics include: theory of ...

It's now easy and straightforward to calculate a variogram using scikit-gstat. We need to sample the field and pass the coordinates and value to the :class:`Variogram Class <skgstat.Variogram>`. ..

Dismantling and decommissioning of nuclear facilities or remediation of contaminated sites are industrial projects with huge challenges. Precise knowledge of the contamination state is required.