AI software for gas processing plants
Deep Learning Process Control® can discover new optimization opportunities on your most dynamic processes
Natural gas liquids (NGL) are a valuable by-product of gas processing. NGL products fuel every major industry – from construction and industrial manufacturing, to transportation, heating and cooling. The transformation of natural gas liquids into products ranging from plastics and rubbers to fuel additives, refrigerants and heating fuel is a complex process with constant adjustments to accommodate different inputs and optimize in the face of constantly changing market dynamics.
Turning the various ethane, propane, butane, isobutane and pentane inputs into these standardized NGL products isn’t easy. The current relational shifts in energy prices and chemical markets makes economic modelling, optimizing NGL recovery, and improving margins more important than ever.
It is difficult to identify and model optimal processing conditions – especially given the long-time dynamics between the feed and the downstream columns. Add in the ever-changing feed composition and it’s not a surprise that traditional modelling hits a breaking point with NGL and gas plants.
That’s exactly why we built Imubit – the first AI software built for natural gas liquids processing plants.
Our process optimization artificial intelligence (AI) software – helps NGL and gas processors break through these optimization challenges. It’s not a generic AI software offered to all industries, but next-level artificial intelligence that understands the nuances of how NGL processing plants work. Imubit is built to handle the wide range of NGL processing complexities by enabling economic modelling and truly dynamic process optimization to accurately predict and set optimal target points.
Working with our gas processing clients, we have figured out how to optimally apply Deep Learning Process Control® to their NGL fractionators.
Learn about how Imubit’s AI software helps gas processing plants discover, engineer and monetize new by-product margin opportunities:
Generalized first-principle economic models
Steady-state baseline models
Process modeling platform
Deep learning process models
Dynamic relationships visualization
Pre-optimized truly dynamic controller
Process control network software
Control room application
-Process control and optimization manager