A new prediction model of elemental sulfur solubility in sour gas mixtures

Abstract

The mining measure of sour gas reservoirs is different from that in the conventional natural gas reservoirs due to the strong corrosivity and highly toxic of H2S. Accurately predicting the solubility of elemental sulfur in sour gas mixtures is the primary task. As a current and widely-used model on the solubility of elemental sulfur in sour gas mixtures, Chrastil's solubility prediction model cannot fit experimental data well. By analyzing the Chrastil's model, we transfer the constant correlation coefficient k in Chrastil's model to be a variate as a function of temperature. We also introduce the M by weakening the effects of the gas density and then propose a new predication model. The coefficients in the new model are fitted by the experimental data. By comparing the new model with other similar type models such as Robert's formula and Hu's formula, we find the predicated results from the new model can fit the experimental data better.