LEAN MONO-ETHYLENE GLYCOL (MEG) CONCENTRATION WITH PRESENCE OF INORGANIC SALT VIRTUAL METER
Systems and methods include a method and system used to predict and monitor lean mono-ethylene glycol (MEG) concentrations after a regeneration process. Process simulations are executed in a MEG regeneration system to generate intermediate parameters and a model correlating MEG concentrations and in...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | English |
Published |
04.08.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Systems and methods include a method and system used to predict and monitor lean mono-ethylene glycol (MEG) concentrations after a regeneration process. Process simulations are executed in a MEG regeneration system to generate intermediate parameters and a model correlating MEG concentrations and inorganic salt concentrations. A model for estimating a salt concentration build-up rate from spot samples is generated based on the process simulations. A lean MEG concentration with presence of inorganic salts is predicted in the MEG regeneration system using hybrid artificial intelligence and leveraging physics-guided machine learning. |
---|---|
Bibliography: | Application Number: US202117162431 |