Examples

This section contains a collection of examples on using pygeostat for different geostatistical modelling workflows.

Introduction

• Python and pygeostat
  • Introduction
  • Running this notebook
  • Brief Introduction to Python
  • Pygeostat Parameters and Matplotlib PlotStyle
  • Importing GSLIB files to python with pygeostat
  • Saving data to CSV, HDF5, and VTK file formats
  • Data Visualization using Pygeostat
  • Executing GSLIB programs

Kriging

• Settings
• Loading data
• Data Visualizations
  • Distibution
  • Location map
• Variogram Calculation and Modeling
  • Horizonal variogram parameters
• Kriging
• Settings
• Loading data
• Data Visualizations
  • Distibution
  • Location map
• Normal Score Transformation
• Variogram Calculation and Modeling
  • Horizonal variogram parameters
• Kriging

Boundary Modeling

• Boundary Modeling
  • 1. Initialize required packages and parameters
  • 2. Load and Inspect the Boundary Data
  • 3. Calculate and Model the Indicator Variogram
  • 4. Calculate and model the Gaussian Variogram
  • 5. Distance Function \(df\) Modeling
  • 6. Boundary Simulation
  • 7. Save project settings and clean the output directory

Structural Modeling

• Structural Modeling
  • 1. Initialize required packages and parameters
  • 2. Load and inspect the surface data
  • 3. Decluster and Normal Score Transform
  • 4. Variogram Calculation and Modeling
  • 5. Simulation and Back-transformation
  • 6. Simulation Checking
  • 7. Construct the Base Surface Realizations
  • 9. Cleaning Directories and Files

GMM Visualization

• GMM Visualization
• Loading CCG Executable
• Loading data
• Multivariate Case
  • Using GMM