In-depth study on the solubility of elemental sulfur in sour gas mixtures based on the Chrastil's association model

Qiao Wang , Xiao Guo , Runxi Leng

Petroleum ›› 2016, Vol. 2 ›› Issue (4) : 425 -434.

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Petroleum ›› 2016, Vol. 2 ›› Issue (4) :425 -434. DOI: 10.1016/j.petlm.2016.08.002
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In-depth study on the solubility of elemental sulfur in sour gas mixtures based on the Chrastil's association model
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Abstract

Accurately predicting the solubility of elemental sulfur in sour gas mixtures is a primary task. As a current and widely-used model on the solubility of elemental sulfur in sour gas mixtures, Chrastil's association model has a big error in the process of predicting experimental data based on different fitting methods. This paper combined with experimental data reported by relevant scholars about elemental sulfur solubility in sour gases and selected density, temperature and pressure as three important influential factors. According to different fitting methods, we can calculate the correlation parameters in Chrastil's model. Then different solubility formulas can be used to predict the solubility of elemental sulfur in sour gas mixtures. Through in-depth research and analysis of Chrastil's solubility model from numerical aspects, it's easy to find the irrationality about Chrastil's solubility model and fitting methods. Especially in fitting methods, further improvement of the fitting method is proposed and used to predict the solubility of elemental sulfur in sour gas mixtures. The calculation results show that some improvements of the predicting precision have been achieved by using the improved fitting method in Chrastil's association model.

Keywords

Solubility / Numerical analysis / Elemental sulfur / Prediction model / Sour gas / Chrastil's association model

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Qiao Wang, Xiao Guo, Runxi Leng. In-depth study on the solubility of elemental sulfur in sour gas mixtures based on the Chrastil's association model. Petroleum, 2016, 2(4): 425-434 DOI:10.1016/j.petlm.2016.08.002

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Acknowledgments

This work was Supported by a China National Science and Technology Major Project of Oil and Gas (2016ZX05017-005), and a Sichuan Youth Science and Technology Innovative Research Team of Safe and Efficient Development of Sour Gas Reservoir (2014TD0009).

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