-    Building a model to predict elevated extraction recovery deviations for the Kearl oil sands mine
-    Leveraging process surveillance data to isolate our data set to causes of interest only
-    Visualizing Shap explanations over time to shed light on what is driving the model predictions leading up to and during events
-    Evaluating the model has uncovered other potential uses of the approach, not only to predict but also to highlight process control adjustments or post-event root cause analysis