Tag: Flumy
Use genetic models to constrain facies models and ensure accuracy and realism
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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.
INDUSTRIES:
Mining (13)
Nuclear Decommissioning (7)
Oil & Gas (6)
Hydrogeology (5)
Contaminated sites (5)
TAGS:
Background images (1)
Big data (1)
Conditional simulations (6)
Contaminated sites (2)
Contaminated sites management (2)
Drill hole spacing analysis (2)
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 (15)
Kartotrak (6)
Machine Learning (1)
Mapping (3)
MIK (2)
Mineral resource estimation (6)
Monitoring network optimization (1)
Ore Control (1)
Plurigaussian simulations (1)
Post-accidental situation (2)
Python (1)
Recoverable resource estimation (3)
Resource classification (2)
Resource reporting (1)
Resources workflow (3)
Risk analysis (3)
Sampling clustering (1)
Sampling optimization (3)
Sampling strategy (1)
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 (2)
2021 (2)
2020 (2)
2019 (8)
2018 (4)
2017 (3)
2016 (3)
Mining (13)
Nuclear Decommissioning (7)
Oil & Gas (6)
Hydrogeology (5)
Contaminated sites (5)
TAGS:
Background images (1)
Big data (1)
Conditional simulations (6)
Contaminated sites (2)
Contaminated sites management (2)
Drill hole spacing analysis (2)
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 (15)
Kartotrak (6)
Machine Learning (1)
Mapping (3)
MIK (2)
Mineral resource estimation (6)
Monitoring network optimization (1)
Ore Control (1)
Plurigaussian simulations (1)
Post-accidental situation (2)
Python (1)
Recoverable resource estimation (3)
Resource classification (2)
Resource reporting (1)
Resources workflow (3)
Risk analysis (3)
Sampling clustering (1)
Sampling optimization (3)
Sampling strategy (1)
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 (2)
2021 (2)
2020 (2)
2019 (8)
2018 (4)
2017 (3)
2016 (3)