Year: 2019

With the “Sampling Density Variance” tool, Isatis.neo offers an innovative methodology allowing robust resource classification, independent from sample number, block size, and domain extension.

Auditing and reviewing a Mineral Resource Estimate either internally or publicly is a multifaceted process for which no software can pretend it will provide all the required tools to tick all the boxes. But some solution will provide better adapted platforms than others. Isatis.neo Resource Workflow falls in that category.

David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by Optiro, a resource consulting group, to participate in a podcast about recoverable resource estimation. Listen to this 2nd recording and learn more about the alternatives to uniform conditioning, such as MIK and conditional simulations, and their pros and cons.

David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by Optiro, a resource consulting group, to participate in a podcast about recoverable resource estimation. Listen to the recording and learn what are recoverable resources, how they differ from reserves, and what are the main techniques to compute them. The focus in on Uniform Conditioning. Other possible techniques will be presented in a further podcast.

IRSN, the French institute for radioprotection and nuclear safety, has been using Geovariances’ software solutions for many years to map radioactive contamination from airborne data. This study, conducted by IRSN and presented at ERPW 2018, demonstrates the influence of the variogram model on the map quality.

Geovariances used Kartotrak.one to map the wifi coverage inside its premises and verify that the transition to a newer wireless networking transmission method has improved the signal across the office and is justified.

Conversions & Uncertainties Workflow, Geovariances’ new tool for depth conversion, gives the user the means to explore all credible reservoir scenarios. It helps prove or disprove the meaningfully different scenarios obtained from a set of realizations and increase the accuracy of your reservoir model.