DiscoverMine Radio podcast – Episode 24: Conditional simulation and uncertainty in the ore body by David Barry
David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by DiscoverMine Radio to explain conditional simulation as one method used in the mining operation to better estimate the ore body. Listen to the recording and learn what conditional simulations are, how they differ from classic mining geostatistics techniques.
DiscoverMine Radio podcast – Episode 23: An introduction about geostatistics in a mining operation by Marlene Woligroski
Marlene Woligroski, geologist and business development manager for the Asia Pacific region, has been invited by DiscoverMine Radio to introduce and explain the interests of geostatistics and the benefits offered by our software Isatis.neo.
What are recoverable resources? (2/2)
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.
What are recoverable resources? (1/2)
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.
Sample clustering in Isatis.neo has proven to be efficient with big datasets
Isatis.neo quickly groups borehole samples into homogeneous classes (e.g., facies, geological or mining domains) in an automatic way. Those who have seen the tool run qualifies it as impressive.
Can you afford to bypass geostatistics for the sake of productivity?
Anyone involved with today’s mining industry understands that the sector is facing very tough challenges. And it is under enormous pressure from due cost control and budgetary management constraints that innovation and ingenuity must still find their way to propose new ways of tackling traditional issues. Mineral Resource Estimation (MRE) is no stranger to that conundrum and their practitioners all know the multi facets of the game: integrate more and more data, boost productivity, and come up with an answer fast and at the same time enriched with an assessment of the uncertainty that can be attached to that answer. All of that in a fraction of the time they used to have at their disposal and less resources to double check…
Isatis for geological modeling and hydrogeology
Isatis assists in characterizing aquifers and building accurate numerical models of the subsurface by generating reliable maps of geological layers, petrophysical properties, mechanical or hydrogeological properties and facies data.
Use genetic models to constrain facies models and ensure accuracy and realism
Geological modeling in Isatis can be achieved using MPS methodology or Flumy, our applications for meandering system modeling. Do you know that you can combine both of them to ensure model accuracy and realism? See the tests done for a NOC.
Nuclear Decommissioning (7)
Oil & Gas (6)
Contaminated sites (5)
Drill Hole Spacing Analysis DHSA
Ice content evaluation
Mineral resource estimation
Monitoring network optimization
Recoverable resource estimation
Soil contamination mapping
Spatial Sampling Density Variance
Water quality modeling