Use case: Predict crude blend compatibility leveraging machine learning model
Crudes blending crucial process in refining
Objective: Predict crude compatibility to optimize blend mix
Collected key available data
Selected key parameters for prediction and calculated "Blend Assay" for compatibility prediction Developed single regression analysis on crude assay characteristics to understand: correlations between variables
Tested 4 different models to estimate compatibility index but given the non linearity/multi factorial problem machine learning was needed.
Predictive dashboard to estimate compatibility index on different crudes blending with following features
Prediction model accuracy: 80% on critical blends