MICROMINE 2014 HOW TO

The variogram control file will automatically add the three axes and adjust their angles to the ones you measured on the variogram map, always ensuring they are at right-angles to each other. Instead, go to the bottom of the form, click the browse button in the Variogram control file response and choose the file you created in the variogram map: But donвЂ™t go setting up the directions just yet. ItвЂ™s a good idea to enable Show Variance so that you can compare the variograms with the global variance of the data.Д¬lick the Semi Variogram Directions button to display the corresponding dialog. Next, use the Raw Data and Data Values options to configure the input data and any transformations. Not only does this protect your original orientations, it also provides a simple way to create alternative scenarios by saving a different file each time.)Дisplaying experimental directional variograms To display the experimental directional variograms, select Stats | Semi Variograms from the main menu and then set the Input to Calculate, the Direction to Directional and the Type to Variogram. (Although it is possible to overwrite the original file we recommend always saving a new file. In other words it enforces geometric anisotropy so you can concentrate on fitting the theoretical model without worrying about the numbers.Д®ven better, once youвЂ™ve created a three-axis model you can save it to a new variogram control file, which then includes the original orientations along with the properties of the experimental variograms. In a 3-D setting it also synchronises the nugget and the number of components along with their types and partial sills across the three axes. The variogram control file The variogram control file does more than just store axis directions defined in a variogram map. The biggest disadvantage of working this way is losing access to the variogram control file and its associated benefits. Moreover, you can still create variogram fans if youвЂ™d rather keep using the old workflow. Stepping through individual variograms will reveal candidates for the lag interval

(WeвЂ™ll add interactive lag sliders in a future update.) In this article IвЂ™ll assume these parameters have already been determined:ДЄ sequence of omnidirectional variograms at different lag intervals. You still model a downhole variogram to determine the nugget effect, and for now you must also experiment with omnidirectional variograms to estimate the optimum lag interval. Some parts of the old workflow havenвЂ™t changed. IвЂ™ll concentrate on the new workflow, relying on the variogram control file to provide the orientation information.

MICROMINE 2014 HOW TO

The new workflow In this post IвЂ™ll conclude the series by showing you how to model three-axis directional variograms. The final step was to create a variogram control file containing your measured orientations: In Four tips for using the variogram map I introduced some data effects that can produce misleading maps. Variography in Micromine 2014 вЂ“ Part 3: Modelling directional variogramsIn Part 1 of this series I showed you how to set up a variogram map, and in Part 2 you learned to use and interpret it.