Tag: Big data
Isatis manages several million data sets
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Through the years, Geovariances has always endeavored to improve Isatis performances to answer their client constraints related to the always increasing size of their data sets. Most of the algorithms in Isatis are thus optimized and parallelized to run on multi-threaded computers and decrease computation time in a significant manner.
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)