Alfiesan / fatbox_tutorials

A couple of tutorials showing how to extract faults from raster data using the fault analysis toolbox

Fault analysis toolbox - tutorials

This is the companion repository to the fault analysis toolbox containing a series of tutorials. You can also find documentation here.

Numerical models

First, we will look at fault analyses in numerical models. One of the easiest ways of getting started is with Jupyter notebooks - an awesome combination of code, documentation and output. The easiest way is to run them with Google Colab, so you don't need any special hardware or software. Just try it out:

Tutorial 1: Fault extraction

• This tutorial shows how to extract a fault network from a 2-D slice of a numerical model

Tutorial 2: Fault properties

• This tutorial shows how to calculate the strike and length of the extracted faults

Tutorial 3: Time stepping

• This tutorial shows how to track fault networks through time in numerical models

Tutorial 4: Fault slip

• This tutorial shows how to calculate fault slip from numerical models

Tutorial 5: Displacement

• This tutorial shows how to sum up fault slip to displacement through time

Tutorial 6: Fault evolution

• This tutorial shows how to visualize the evolution of our faults with time

Extra tutorials

Tutorial E1

• This tutorial shows how to map fault networks by hand

Tutorial E2

• This tutorial shows how to resample a 2-D numerical model to an array with Paraview, so we can apply our workflow

Tutorial E3

• This tutorial shows how to extract faults in parallel

Tutorial E4

• This tutorial shows how to export our fault network for 3-D visualizations in Paraview