Tag: Simulation post-processing
Available in Isatis.neo: an innovative way of classifying mineral resources
Posted on
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.
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)