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...

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Bibliographic Details
Main Authors Rithauddeen, Megat A, Kharbat, Fayez
Format Patent
LanguageEnglish
Published 04.08.2022
Subjects
DETECTING MASSES OR OBJECTS
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
GEOPHYSICS
GRAVITATIONAL MEASUREMENTS
MEASURING
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
TESTING
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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