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Bitumen Penetration Prediction
Our client is the largest petrochemical company in Turkey, operating four crude oil refineries.
Problem
Heavy vacuum gas oil (HVGO) is a valuable end-product where bitumen penetration impacts the yield of the product
Accuracy of the current statistical model to predict bitumen penetration is not satisfactory to increase HVGO yield
Action
Analyzed the crude oil distribution network to identify the main source of complexity and mathematically described the network
Developed an advanced analytics model to more precisely predict bitumen penetration level
The model was integrated into client’s system and process with dashboard visualization
Tool Stack
Phyton
20
K Ton/Y
Additional HVGO produced
2
M $/Y
Additional revenue