Author: Pedro Correia
Uncertainty in Depth Conversion: Why should I care?
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Conversions & Uncertainties Workflow, Geovariances’ new tool for depth conversion, gives the user the means to explore all credible reservoir scenarios. It helps prove or disprove the meaningfully different scenarios obtained from a set of realizations and increase the accuracy of your reservoir model.
INDUSTRIES:
Mining (8)
Oil & Gas (5)
Nuclear Decommissioning (3)
Hydrogeology (3)
Contaminated sites (1)
TAGS:
2D erodability map (1)
3D (1)
Airborne flight line (1)
Complex geometric relationships (1)
Conditional Simulations (4)
Contamination diagnostic (1)
Conversions & Uncertainties (1)
Data analysis (1)
Domaining (1)
Facies (1)
Flight line spacing (1)
Flow path lines (1)
Flumy (1)
Genetic model (1)
Geostatistical Hierarchical Clustering (1)
Geostatistics (1)
Image Filtering (1)
Isatis (8)
Isatis.neo (9)
Kartotrak (2)
Kriging (1)
Mapping (2)
Merge data (1)
MIK (2)
Mineral resources (2)
MPS (1)
Multi-Acquisition Factorial Kriging (1)
Multivariate geostatistics (1)
Post-accidental situation (2)
Post-processing (1)
Recoverable resource estimation (3)
Reservoir modeling (1)
Resource classification (2)
Resources workflow (3)
Risk analysis (1)
Sampling optimization (2)
Scripting procedures (3)
Seismic cubes (1)
Soil contamination mapping (1)
Statistics (1)
Support Vector Machine (1)
turbiditic depositional system (1)
Uncertainty analysis (1)
Uniform Conditioning (3)
Variography (2)
AUTHORS:
DATES:
2020 (2)
2019 (7)
2018 (2)
2017 (2)
2016 (2)
Mining (8)
Oil & Gas (5)
Nuclear Decommissioning (3)
Hydrogeology (3)
Contaminated sites (1)
TAGS:
2D erodability map (1)
3D (1)
Airborne flight line (1)
Complex geometric relationships (1)
Conditional Simulations (4)
Contamination diagnostic (1)
Conversions & Uncertainties (1)
Data analysis (1)
Domaining (1)
Facies (1)
Flight line spacing (1)
Flow path lines (1)
Flumy (1)
Genetic model (1)
Geostatistical Hierarchical Clustering (1)
Geostatistics (1)
Image Filtering (1)
Isatis (8)
Isatis.neo (9)
Kartotrak (2)
Kriging (1)
Mapping (2)
Merge data (1)
MIK (2)
Mineral resources (2)
MPS (1)
Multi-Acquisition Factorial Kriging (1)
Multivariate geostatistics (1)
Post-accidental situation (2)
Post-processing (1)
Recoverable resource estimation (3)
Reservoir modeling (1)
Resource classification (2)
Resources workflow (3)
Risk analysis (1)
Sampling optimization (2)
Scripting procedures (3)
Seismic cubes (1)
Soil contamination mapping (1)
Statistics (1)
Support Vector Machine (1)
turbiditic depositional system (1)
Uncertainty analysis (1)
Uniform Conditioning (3)
Variography (2)
AUTHORS:
DATES:
2020 (2)
2019 (7)
2018 (2)
2017 (2)
2016 (2)