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2014•IOSR Journal of Computer EngineeringOpen access

Design of ANN for prediction of operating performance Gas Sweetening Process used in Natural Gas Purification

Roohi Sille, Gaurav Kumar Rajput, Shailendra Kumar Sharma

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Abstract

Gas sweetening unit is an essential industrial processthat exhibits significant non-linear behavior.It comprises of absorption and regeneration towers.Conventional linear control schemes based on rigorous mathematical models, implemented in sweetening units, show poor performance and lead to off-specification products.A feed forward back-propagationneural networkmodelwith an efficiency of 95% has been developed for the Gas Sweetening Process used in Natural gas purification process, as per the data extracted from the GSU specifics.

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Gas sweetening unit is an essential industrial processthat exhibits significant non-linear behavior.It comprises of absorption and regeneration towers.Conventional linear control schemes based on rigorous mathematical models, implemented in sweetening units, show poor performance and lead to off-specification products.A feed forward back-propagationneural networkmodelwith an efficiency of 95% has been developed for the Gas Sweetening Process used in Natural gas purification process, as per the data extracted from the GSU specifics.

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Available abstract

Gas sweetening unit is an essential industrial processthat exhibits significant non-linear behavior.It comprises of absorption and regeneration towers.Conventional linear control schemes based on rigorous mathematical models, implemented in sweetening units, show poor performance and lead to off-specification products.A feed forward back-propagationneural networkmodelwith an efficiency of 95% has been developed for the Gas Sweetening Process used in Natural gas purification process, as per the data extracted from the GSU specifics.

Key concepts: Sweetening, Natural gas, Computer science, Natural-gas processing, Process (computing), Process engineering, Biochemical engineering, Sweetening agents

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