A discussion covers two new approaches for accurately predicting densities of glycols, i.e., ethylene glycol, diethylene glycol, and triethylene glycol; correlation developed as a function of temperature and glycol's weight percent in water; an approach based on artificial neural network algorithms; and characteristics of glycol dehydrators in gas processing.
Journal article
Predicting densities of glycol solutions
Petroleum Technology Quarterly, Vol.13(2), pp.47-48
2008
Metrics
17 Record Views
Abstract
Details
- Title
- Predicting densities of glycol solutions
- Creators
- Alireza BahadoriY HajizadehS Mokhatab
- Publication Details
- Petroleum Technology Quarterly, Vol.13(2), pp.47-48
- Identifiers
- 3141; 991012820637802368
- Academic Unit
- School of Environment, Science and Engineering; Faculty of Science and Engineering
- Resource Type
- Journal article