Optimizing Methane Recovery from Natural Gas Streams: Insights from Aspens Hysis Simulation

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DB3ZN

Optimizing methane recovery from natural gas streams.

Optimizing Methane Recovery from Natural Gas Streams: Insights from Aspens Hysis Simulation

Godsday Idanegbe Usiabulu
Godsday Idanegbe Usiabulu
Ifeanyi Eddy Okoh
Ifeanyi Eddy Okoh
Kenneth John Okpeahior
Kenneth John Okpeahior
DOI

Abstract

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 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=−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. These models are expressed as y=2E−06×2 −3E−05x+0.8931y=2E−06×2 −3E−05x+0.8931 for methane and y=5E−07×2 −5E−05x+0.0352y=5E−07×2−5E−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.

Optimizing Methane Recovery from Natural Gas Streams: Insights from Aspens Hysis Simulation

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 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=−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. These models are expressed as y=2E−06×2 −3E−05x+0.8931y=2E−06×2 −3E−05x+0.8931 for methane and y=5E−07×2 −5E−05x+0.0352y=5E−07×2−5E−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.

Godsday Idanegbe Usiabulu
Godsday Idanegbe Usiabulu
Ifeanyi Eddy Okoh
Ifeanyi Eddy Okoh
Kenneth John Okpeahior
Kenneth John Okpeahior

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Ifeanyi Eddy Okoh. 2026. “. Global Journal of Research in Engineering – C: Chemical Engineering GJRE-C Volume 24 (GJRE Volume 24 Issue C1): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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Optimizing Methane Recovery from Natural Gas Streams: Insights from Aspens Hysis Simulation

Godsday Idanegbe Usiabulu
Godsday Idanegbe Usiabulu
Ifeanyi Eddy Okoh
Ifeanyi Eddy Okoh
Kenneth John Okpeahior
Kenneth John Okpeahior

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