AI LNG Terminal & Distribution Optimization
AI optimization of LNG operations including terminal efficiency, regasification scheduling, distribution network planning, and predictive maintenance.
The Problem
“Optimize LNG terminal throughput and downstream distribution”
Organizations face these key challenges:
High variability and uncertainty in vessel ETAs, weather windows, and port congestion causing berth conflicts and demurrage
Complex, coupled constraints across tanks (heel requirements, stratification, boil-off), regas capacity, and maintenance outages leading to suboptimal send-out
Fragmented planning between terminal, pipeline nominations, and last-mile distribution (truck/rail) resulting in costly expedites and missed contractual deliveries
Impact When Solved
Real-World Use Cases
Smart Grid Management and Optimization
A smart grid is like upgrading from an old landline to a modern smartphone for your electricity network. Instead of just pushing power one way from big plants to homes, the grid becomes two‑way, with sensors and software that can see what’s happening in real time, shift loads, use home batteries and solar panels, and prevent or shorten outages.
Artificial Intelligence for Energy Systems
Think of this as a playbook of AI tricks for running power systems—generation, grids, and consumption—more like a smart thermostat and less like a manual on/off switch. It applies machine learning to decide how much power to produce, when to store it, and how to route it so the overall system is cheaper, cleaner, and more reliable.