Skip to main content
Ctrl+K
OpenPNM 3.5.0.dev2 documentation - Home
  • Installation
  • Module Reference
  • Examples
  • Issue Tracker
  • Get Help
  • GitHub
  • Installation
  • Module Reference
  • Examples
  • Issue Tracker
  • Get Help
  • GitHub

Section Navigation

  • 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
    • Pore-Scale Models
    • Settings Attribute Machinery
    • The Workspace and Projects
    • Managing Clustered Networks
    • Available Matrix Solvers
    • Steady State Transport
    • Explanation of Units
    • Reactive Transport
    • Size Factors and Transport Conductance
    • Transient Transport
  • Examples

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
    • Creating a Cubic Network
    • Defining a Phase
    • Performing a Drainage Simulation
    • Calculating Permeability Coefficient
    • Adjusting Pore Size Distribution
  • 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
    • Pore-Scale Models
    • Settings Attribute Machinery
    • The Workspace and Projects
    • Managing Clustered Networks
    • Available Matrix Solvers
    • Steady State Transport
    • Explanation of Units
    • Reactive Transport
    • Size Factors and Transport Conductance
    • Transient Transport

© Copyright 2024, PMEAL.

Built with the PyData Sphinx Theme 0.15.4.