Predict Petrophysical Rock Types (PRT) using KNN
-
Updated
Nov 10, 2021 - Jupyter Notebook
#
rock-types
Here are 4 public repositories matching this topic...
Use of Sklearn to predict Petrophysical Rock Types (PRT) in an Arab D carbonate based on Clerke's Rosetta Stone Calibration data
-
Updated
Nov 10, 2021 - Jupyter Notebook
Generate a Representative Thin Sections and Capillary Pressure Curves from any poro-perm combination using normalized core data with kNN backed by the Rosetta Stone Arab D Carbonate core database as calibration data.
-
Updated
Nov 10, 2021 - Jupyter Notebook
A comprehensive Open Source repository for Petrophysics, providing tools, scripts, and resources for analyzing subsurface data. Ideal for geoscientists, engineers, and researchers working with porosity, permeability, and other petrophysical properties. Join us in advancing the science of subsurface exploration and reservoir characterization.
petrophysics
permeability
reservoirs
reservoir-characterization
capillary-pressure
porosity
rock-types
relative-permeability
thin-sections
saturations
reservoir-fluids
photomicrographs
-
Updated
Aug 19, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the rock-types topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rock-types topic, visit your repo's landing page and select "manage topics."