Extension of an Artificial Neural Network Algorithm for Estimating Sulfur Content of Sour Gases at Elevated Temperatures and Pressures
Author:
Affiliation:
1. Chemical Engineering Department, Faculty of Engineering, Tehran University, Tehran, Iran, and MINES ParisTech, CEP/TEP−Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie900399b
Reference40 articles.
1. Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm
2. Pack, D. J.Presented at the 14th Biennal Joint Technical Meeting on Pipelines Research,Berlin, 2003; paper no 31, pp1−14.
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