Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant

Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant

Gas sweetening is a fundamental step in gas treatment processes for environmental and safety concerns. One of the most extensively used and largely recognized solvents for gas sweetening is methyl diethanolamine (MDEA). One of the most crucial metrics for measuring the effectiveness of gas treatment...

Full description

Bibliographic Details
Main Authors: Saja Mohsen Alardhi, Thaer Al-Jadir, Ahmed Mudheher Hasan, Alaa Abdulhady Jaber, Laith Majeed Al Saedi
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2023-03-01
Series:Ecological Engineering & Environmental Technology
Subjects:
absorption
mdea
ann modeling
natural gas dataset
sour gases
sweetening process
Online Access:http://www.ecoeet.com/Design-of-Artificial-Neural-Network-for-Prediction-of-Hydrogen-Sulfide-and-Carbon,157092,0,2.html

Internet

http://www.ecoeet.com/Design-of-Artificial-Neural-Network-for-Prediction-of-Hydrogen-Sulfide-and-Carbon,157092,0,2.html

Similar Items