Assisted ML analysis

In the assisted machine learning analysis, you can create models to understand the influence of static variables on dynamics variables. In this example we are going to predict the estimated ultimate recovery (EUR), but any other dynamic variable can be use.

Simulation

The purpose of this tool, is to update one of the static variables and see the influence on the model. For example in our dataset we have distribution of the prosity_vv between 0.1 and 0.9. We want to tee what it would change if we had only wells within a range of 0.3 and 0.7.