Create an Omnidirectional Semivariogram

2022-08-19

By Mohamed Zaki

Mohamed Zaki

Mohamed Zaki has an undergraduate degree in Mining Engineering CO-OP from McGill University. With an opportunity to do 3 research studies with excellent professors from McGill University and experience in open-pit mining, he developed an interest in analyzing data using powerful programs. Upon joining the Promine team, Mohamed worked as a Quality Assurance & Support Specialist, then obtained a position as a Sales Specialist. A few months later, he took the role of a Marketing manager to promote the professional image of Promine. Currently, Mohamed is the Director of Business Development of EMEA at Promine.

In this TOTM, we use digitized information consisting of samples to create composites to ultimately create an omnidirectional semivariogram. This complex geostatistical method requires the use of a digital database to extract data from, to estimate resources accurately. In this example, we define the lag number, size, and tolerance, and then use the circular fitting method to fit a curve on the graph. Then, the module also allows you to save and export this graph in csv or as in image.