DiscoverMine Radio podcast – Episode 24: Conditional simulation and uncertainty in the ore body by David Barry
Posted on 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.
LISTEN TO THE PODCAST (episode 24)
For more information, contact David Barry, Senior Geostatistician, at barry@geovariances.com.
INDUSTRIES:
Mining (14)
Nuclear Decommissioning (7)
Oil & Gas (6)
Hydrogeology (5)
Contaminated sites (5)
TAGS:
Background images (1)
Big data (1)
Conditional simulations (7)
Contaminated sites (2)
Drill Hole Spacing Analysis DHSA (3)
Facies modeling (2)
Flow modeling (1)
Geological modeling (3)
H2020 INSIDER (1)
Horizon mapping (1)
Hydrogeological modeling (1)
Ice content evaluation (1)
Isatis (11)
Isatis.neo (16)
Kartotrak (6)
Machine Learning (2)
Mapping (3)
MIK (2)
Mineral resource estimation (7)
Monitoring network optimization (1)
MPS (2)
Ore Control (1)
Plurigaussian simulations (1)
Post-accidental situation (2)
Python (1)
Recoverable resource estimation (3)
Resource classification (2)
Resource reporting (1)
Resources workflow (1)
Resource workflow (3)
Risk analysis (3)
Sample clustering (1)
Sampling optimization (3)
Scripting procedures (3)
Simulation post-processing (1)
Simulation Reduction (1)
Site characterization (2)
Soil contamination mapping (4)
Spatial Sampling Density Variance (1)
Time-to-Depth conversion (1)
Uncertainty analysis (2)
Uniform Conditioning (5)
Variography (2)
Water quality modeling (1)
Workflow automatization (1)
AUTHORS:
DATES:
2022 (3)
2021 (2)
2020 (2)
2019 (8)
2018 (4)
2017 (3)
2016 (3)
Mining (14)
Nuclear Decommissioning (7)
Oil & Gas (6)
Hydrogeology (5)
Contaminated sites (5)
TAGS:
Background images (1)
Big data (1)
Conditional simulations (7)
Contaminated sites (2)
Drill Hole Spacing Analysis DHSA (3)
Facies modeling (2)
Flow modeling (1)
Geological modeling (3)
H2020 INSIDER (1)
Horizon mapping (1)
Hydrogeological modeling (1)
Ice content evaluation (1)
Isatis (11)
Isatis.neo (16)
Kartotrak (6)
Machine Learning (2)
Mapping (3)
MIK (2)
Mineral resource estimation (7)
Monitoring network optimization (1)
MPS (2)
Ore Control (1)
Plurigaussian simulations (1)
Post-accidental situation (2)
Python (1)
Recoverable resource estimation (3)
Resource classification (2)
Resource reporting (1)
Resources workflow (1)
Resource workflow (3)
Risk analysis (3)
Sample clustering (1)
Sampling optimization (3)
Scripting procedures (3)
Simulation post-processing (1)
Simulation Reduction (1)
Site characterization (2)
Soil contamination mapping (4)
Spatial Sampling Density Variance (1)
Time-to-Depth conversion (1)
Uncertainty analysis (2)
Uniform Conditioning (5)
Variography (2)
Water quality modeling (1)
Workflow automatization (1)
AUTHORS:
DATES:
2022 (3)
2021 (2)
2020 (2)
2019 (8)
2018 (4)
2017 (3)
2016 (3)
Uncertainty in the ore volume is a big part of the risk in a mining project. That is why in this episode, DiscoverMine Radio interviewed David Barry, senior geostatistician currently working for Geovariances, to explain conditional simulation as one of the methods used in the mining operation to better estimate the ore body.
(02:10) About kriging, estimation, and simulation;
(06:40) The differences between geostatistics and conventional simulation;
(09:30) Why are conditional simulations required to model ore bodies?
(13:20) Successful stories about ore body simulations;
(17:30) How the simulation results are optimized;
(23:50) Alternative methods to deal with unbalance drill holes distribution.
You can hear DiscoverMine Radio through the link below: