Experienced Eye: Choosing the Right Model Before You Predict 

Why Attend

Testing input curves and models one at a time takes hours. Experienced Eye compares them in minutes.

Before running a Curve Prediction workflow, Experienced Eye lets you compare feature sets and machine learning models side by side, so you know which combination fits your data before you commit to a run.

This session shows Experienced Eye in action, selecting features, comparing machine learning models and carrying that choice into Curve Prediction.

You'll learn:

• How to use Experienced Eye to select features and compare model performance

• How to visualise model performance and compare multiple models

• How to carry that choice into a Curve Prediction run with evidence behind it 

Meet Your Speaker

IP PRODUCT CHAMPION - MACHINE LEARNING & PYTHON

Petrophysicist with 17+ years of industry experience specializing in machine learning, artificial intelligence, and Python development. Andy helps bridge the gap between subsurface expertise and technology innovation, delivering practical solutions for modern interpretation workflows.