Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm-Reference-Cited by-同舟云学术

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Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm

Published:2008-09-26 Issue:21 Volume:47 Page:8499-8504
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Mohammadi Amir H.¹,Richon Dominique¹

Affiliation:

1. Mines ParisTech, CEP/TEP-Centre énergetique et procédés, CNRS FRE 2861, 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/ie8004463

Reference38 articles.

1. Hyne, J. B.Controlling sulfur deposition in sour gas wells.World Oil1983,35.

2. Wilkes, C.; Pareek, V.Energy-Tech Online, 2001 (accessed March 2008).

3. Pack, D. J., Paper presented at the 14th Biennal Joint Technical Meeting on Pipelines Research,Berlin, 2003, paper no 31,1−14

4. Thermodynamics of sulphur vapour

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