<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-c-chemical-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - C: Chemical Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/83494.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">83494</article-id>
<title-group>
<article-title>Optimizing Methane Recovery from Natural Gas Streams: Insights from Aspens Hysis Simulation</article-title>
<subtitle>Optimizing Methane Recovery in Natural Gas Processing</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Usiabulu</surname><given-names>Godsday Idanegbe</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Okoh</surname><given-names>Ifeanyi Eddy</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Okpeahior</surname><given-names>Kenneth John</given-names></name></contrib>
</contrib-group>
<aff id="aff1">NIGERIA</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-08-06">
<day>06</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>24</volume>
<issue>C1</issue>
<fpage>29</fpage>
<lpage>40</lpage>
<abstract><p>This study utilized the Aspen HYSYS Simulator Version 8.6 to simulate plant operations and optimize natural gas recovery using Technip’s feed gas composition. The focus was on investigating the effects of product recycling and determining the optimal feed tray position within the distillation column. Technip’s feed gas composition was selected due to its relevance in realworld applications, influencing the efficiency of methane recovery. The results indicated that maximum methane recovery occurred with zero product recycling and increasing the number of trays significantly enhanced methane recovery in the column overhead. Specifically, the analysis revealed a direct correlation between the number of trays and methane recovery efficiency. To support these findings, mathematical models were developed: one for predicting the optimal feed tray position represented as y=-0.01×2 +x-3y=-0.01×2+x-3, and two models for calculating the required number of trays for desired fractions of methane and natural gas liquids (NGLs) in the overhead.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>methane</kwd>
<kwd>recovery</kwd>
<kwd>optimization</kwd>
<kwd>recycle</kwd>
<kwd>gas plant.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJRE_Volume24/3-Optimizing-Methane-Recovery.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/optimizing-methane-recovery-from-natural-gas-streams-insights-from-aspens-hysis-simulation/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>This study utilized the Aspen HYSYS Simulator Version 8.6 to simulate plant operations and optimize natural gas recovery using Technipâ€™s feed gas composition. The focus was on investigating the effects of product recycling and determining the optimal feed tray position within the distillation column. Technipâ€™s feed gas composition was selected due to its relevance in real-world applications, influencing the efficiency of methane recovery. The results indicated that maximum methane recovery occurred with zero product recycling and increasing the number of trays significantly enhanced methane recovery in the column overhead. Specifically, the analysis revealed a direct correlation between the number of trays and methane recovery efficiency. To support these findings, mathematical models were developed: one for predicting the optimal feed tray position represented as y=âˆ’0.01x2 +xâˆ’3y=âˆ’0.01x2+xâˆ’3, and two models for calculating the required number of trays for desired fractions of methane and natural gas liquids (NGLs) in the overhead. These models are expressed as y=2Eâˆ’06x2 âˆ’3Eâˆ’05x+0.8931y=2Eâˆ’06x2 âˆ’3Eâˆ’05x+0.8931 for methane and y=5Eâˆ’07x2 âˆ’5Eâˆ’05x+0.0352y=5Eâˆ’07x2âˆ’5Eâˆ’05x +0.0352 for NGLs. The accuracy and reliability of these models were validated through simulation results. In conclusion, this study demonstrates that optimizing tray configurations and minimizing product recycling can significantly enhance methane recovery processes. The developed models provide valuable tools for engineers and industry practitioners aiming to improve natural gas recovery efficiency in operational settings.</p>
</sec>
</body>
</article>