An Investigation of the Comparative Performance of Diverse Vapor Pressure Prediction Techniques of Sour Natural Gas.
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| Title: | An Investigation of the Comparative Performance of Diverse Vapor Pressure Prediction Techniques of Sour Natural Gas. |
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| Authors: | Issa, H. M.1 |
| Source: | Petroleum Science & Technology. 2015, Vol. 33 Issue 13/14, p1443-1448. 6p. |
| Subjects: | Vapor pressure, Prediction theory, Comparative studies, Temperature effect, Estimation theory |
| Abstract: | In this study, the Antoine equation was modified for vapor pressure prediction to estimate and compute accurate vapor pressure of sour natural gases mixtures for given temperature range by applying the software MATLAB 8.2 R2013b (The MathWorks, Natick, MA). The calculated vapor pressures were compared with the well-known and widely used techniques to have near-accurate description of the vapor pressure estimation for sour natural gas, such as a cubical equation of state (Soave–Redlich–Kwong) and with the Wichert and Aziz (1972) correction technique for sour natural gas properties. The predicted vapor pressures were very close to those obtained by the mentioned two techniques with an average of absolute deviations of 1.954% and coefficient of determination 0.99. [ABSTRACT FROM AUTHOR] |
| Copyright of Petroleum Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 109441983 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Investigation of the Comparative Performance of Diverse Vapor Pressure Prediction Techniques of Sour Natural Gas. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Issa%2C+H%2E+M%2E%22">Issa, H. M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Petroleum+Science+%26+Technology%22">Petroleum Science & Technology</searchLink>. 2015, Vol. 33 Issue 13/14, p1443-1448. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vapor+pressure%22">Vapor pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+theory%22">Prediction theory</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this study, the Antoine equation was modified for vapor pressure prediction to estimate and compute accurate vapor pressure of sour natural gases mixtures for given temperature range by applying the software MATLAB 8.2 R2013b (The MathWorks, Natick, MA). The calculated vapor pressures were compared with the well-known and widely used techniques to have near-accurate description of the vapor pressure estimation for sour natural gas, such as a cubical equation of state (Soave–Redlich–Kwong) and with the Wichert and Aziz (1972) correction technique for sour natural gas properties. The predicted vapor pressures were very close to those obtained by the mentioned two techniques with an average of absolute deviations of 1.954% and coefficient of determination 0.99. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Petroleum Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10916466.2015.1076843 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1443 Subjects: – SubjectFull: Vapor pressure Type: general – SubjectFull: Prediction theory Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Temperature effect Type: general – SubjectFull: Estimation theory Type: general Titles: – TitleFull: An Investigation of the Comparative Performance of Diverse Vapor Pressure Prediction Techniques of Sour Natural Gas. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Issa, H. M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 10916466 Numbering: – Type: volume Value: 33 – Type: issue Value: 13/14 Titles: – TitleFull: Petroleum Science & Technology Type: main |
| ResultId | 1 |
