Industry: Mining
Geostatistical simulations, what for? Geovariances’ consultants give examples of use
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We asked some of our consultants to tell us about recent studies in which they used conditional simulations for specific issues. Here are the examples they gave us.
Enrich your maps with background images: discover a list of websites from where you can download spatial data for free
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There is no better way to understand your data than to display it in its global environmental context. Geovariances software solutions, Isatis.neo and Kartotrak, embed GIS components for the 2D display of data of any kind (points, borehole tops, grids, polylines, polygons) in several layers. It is then easy to enrich your maps by adding background images imported from geographic raster or vector files.
Drilling optimization through DHSA
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Read how Geovariances’ consultants help a copper mine in Brazil to reduce the grade uncertainty of ore concentrates to better meet customers’ requirements.
DiscoverMine Radio podcast – Episode 24: Conditional simulation and uncertainty in the ore body by David Barry
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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
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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.
Things I’ve done with Python in Isatis.neo
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Discover what our senior geostatistician David Barry does in Isatis.neo with the power of Python scripting.
Available in Isatis.neo: an innovative way of classifying mineral resources
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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.
Isatis.neo Resources Workflow can be used for audit and desktop review of Mineral Resource Estimation projects
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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.
What are recoverable resources? (2/2)
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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)
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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.
Mining (14)
Nuclear Decommissioning (9)
Contaminated sites (7)
Oil & Gas (6)
Hydrogeology (5)
TAGS:
2D/3D (2)
Background images (1)
Big data (1)
Conditional simulations (7)
Contaminated sites (2)
Contamination (2)
Drill Hole Spacing Analysis DHSA (3)
Excavation (2)
Facies modeling (2)
Flow modeling (1)
Geological modeling (3)
Gestion des sites pollués (2)
H2020 INSIDER (1)
Horizon mapping (1)
Ice content evaluation (1)
Isatis (11)
Isatis.neo (16)
Kartotrak (8)
Machine Learning (2)
Mapping (3)
MIK (2)
Mineral resource estimation (7)
Monitoring network optimization (1)
MPS (2)
Ore Control (1)
Pareto (2)
Pollution (2)
Post-accidental situation (2)
Recoverable resource estimation (3)
Resource classification (2)
Resources workflow (1)
Resource workflow (3)
Risk analysis (3)
Sample clustering (1)
Sampling optimization (3)
Scripting procedures (3)
Simulation post-processing (1)
Site characterization (2)
Soil contamination mapping (4)
Time-to-Depth conversion (1)
Uncertainty analysis (2)
Uniform Conditioning (5)
Variography (2)
Volumes (2)
Water quality modeling (1)
AUTHORS:
David Barry (3)
Pedram Masoudi (2)
Yvon Desnoyers (2)
Pedro Correia (1)
Catherine BLEINES (1)
DATES:
2023 (2)
2022 (3)
2021 (2)
2020 (2)
2019 (8)
2018 (4)
2017 (3)
2016 (3)