کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8128872 1523010 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new prediction model of elemental sulfur solubility in sour gas mixtures
ترجمه فارسی عنوان
مدل پیشبینی جدیدی از حلالیت گوگرد الکترومغناطیسی در مخلوط گاز ترش
کلمات کلیدی
حلالیت گوگرد الکترومغناطیسی، مخازن گاز ترش، داده های تجربی، مدل پیش بینی، روش چرخه،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Natural Gas Science and Engineering - Volume 31, April 2016, Pages 98-107
نویسندگان
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