AI Refinery Process Optimization
Optimizes refinery unit setpoints and constraints using AI to improve throughput, energy intensity, and product quality.
The Problem
“Reduce refinery yield loss and energy intensity”
Organizations face these key challenges:
Frequent operating upsets and constraint chasing due to changing crude slates, ambient conditions, and equipment fouling, leading to yield loss and energy spikes
Delayed or sparse quality measurements (lab turnaround times of hours) causing off-spec giveaways, reblending, and conservative operating margins
Siloed optimization across units (CDU/VDU, FCC, hydrocrackers, hydrotreaters, reformers) that misses site-wide interactions like hydrogen balance, steam/power limits, and flare constraints
Impact When Solved
Real-World Use Cases
AI for Optimizing Power Plant Operations
AI helps power plants run better and save money.
Process Optimization in Energy Operations
It helps machines work better and use less energy to save money.
Power Plant Efficiency Optimization AI
This AI helps power plants work better and use less fuel.