GitHub / RamySaleem / GeoClass-Uncertainty-classifier-How-to-visualise-uncertainty-by-zones-and-levels
This model is a simple method to classify, quantify and illustrate the uncertainty in subsurface interpretation using python open source libraries. This model takes a practical and coding focused approach to visualise the uncertainty in subsurface interpretations by calculating zones and levels of uncertainty—the Five uncertainty zones created by measuring the distance from outcrops, galleries and boreholes.
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 254 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: 2d, 3d-models, coal-mines, cross-sections, opencv, subsurface-interpretation, uncertainty, uncertainty-quantification