Examples#
The best way to learn OpenPNM (like anything) is to experiment. In this page, you can find lots of examples that will help you get started. The examples are categorized into the following categories:
- Getting Started
- 10 Steps to Learn OpenPNM
- Numerical Python Primer
- Generating Networks and Quick Visualization
- Storage of Network Data and Topology
- Network Representation, Queries, and Manipulation
- Assigning Geometric Properties
- Using Labels and Defining Domains
- Creating Phases
- Simulating Single Phase Transport
- Simulating Invasion
- Visualization options
- Applications
- Predicting absolute permeability
- Adjusting Pore Size Distributions
- Predicting dispersion coefficient
- Finding Effective Diffusivity and Tortuosity of a Network
- Predicting Formation Factor
- Calibrating a Network Using Mercury Intrusion Data
- Import an Extracted Network and Predict Transport Properties
- Predicting Porosity
- Obtaining Relative Diffusivity Curves
- Predicting relative permeability
- Reference