This Repo is forked from fault analysis toolbox

Data

Data that i used for my project is predicted fault that you can find Here

ML - Fault Prediction

Fault Prediction using FaultNet

Results

Predicted Fault Labeled Fault using FatBox

Fault analysis toolbox - tutorials

You can find original repository --> fault analysis toolbox. 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 A1: Fault extraction from numerical model

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

Tutorial A2: Fault properties

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

Tutorial A3: Time stepping

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

Tutorial A4: Fault slip

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

Tutorial A5: Displacement

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

Tutorial A6: Fault evolution

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