Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms
Author:
Affiliation:
1. Department of Chemical Engineering, The University of Texas Permian Basin, Odessa, Texas 79762, United States
2. Vishwamitra Research Institute, Crystal Lake, Illinois 60012, United States
Funder
University of Texas System
Publisher
American Chemical Society (ACS)
Subject
Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.0c06951
Reference51 articles.
1. Measurement and Enhanced Monitoring of BTEX and VOC Emissions from Glycol Dehydrators
2. Gupta, A.; Ansari, N. A. K. R.; Rai, R.; Sah, A. K. Reduction Of Glycol Loss From Gas Dehydration Unit At Offshore Platform in Bombay Offshore-A Case Study. Abu Dhabi International Petroleum Exhibition and Conference; Society of Petroleum Engineers, 1996.
3. Parametric Analysis of Natural Gas Dehydration by a Triethylene Glycol Solution
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