Modification of an Industrial Ethane Recovery Plant Using Mixed Integer Optimization and Shuffled Frog Leaping Algorithm

Vatani, Ali; Mehrpooya, Mehdi; Pakravesh, Hallas

doi:10.1007/s13369-012-0433-9

Cited by 17 publications

(2 citation statements)

References 20 publications

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“…The hydrocarbon condensation in the pipeline is avoided so that the DPCU play a vital role in sales gas characteristic. DPCU generates a liquid hydrocarbon, containing mainly C 5+ , as natural gas liquid (NGL) product (Galatro and Marín-Cordero 2014;Rahimpour et al 2011;Vatani et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Heavy hydrocarbon recovery with integration of turboexpander and JT valve from highly CO2-containing natural gas for gas transmission pipeline

Yusupandi,

Widiatmoko,

Sukmana

et al. 2023

jrekpros

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Demand of natural gas is predicted to increase since many valuable products can be produced. Water and heavy hydrocarbon content are the key for gas pipeline facility. To meet requirement of natural gas transportation, dehydration unit (DHU) and hydrocarbon dew point control unit (DPCU) are necessary to avoid water and hydrocarbon condensation during transmission. The conventional dehydration technology, TEG contactor, can lower water content from 1,304 mg/m3 to 80.35 mg/m3 where the maximum limit of water content in natural gas is 97 mg/m3 to prevent hydrate formation. DPCU is installed to remove heavy hydrocarbon, especially C5+. Integration of JT valve and turboexpander was employed to obtain the low gas dew point. The hot gas stream that entered the JT valve was observed. The lower hot bypass gas was applied, the lower hydrocarbon dew point and the more condensate flowrate was achieved. The highest power generation can be gained at low hot gas flow ratio which also influenced the exit pressure and temperature of compressor. In pipeline simulation, the pressure and temperature drop occurred at the high hot gas rate. To examine the arrival condition, dew point curves were generated and showed that the limitation of hot gas flow ratio has to be below 0.6 to prevent heavy hydrocarbon condensation in pipeline.

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Section: Introductionmentioning

confidence: 99%

Heavy hydrocarbon recovery with integration of turboexpander and JT valve from highly CO2-containing natural gas for gas transmission pipeline

Yusupandi,

Widiatmoko,

Sukmana

et al. 2023

jrekpros

View full text Add to dashboard Cite

show abstract

“…With the development of swarm intelligence, at present, it has many kinds of algorithms, such as genetic algorithm (GA), particle swarm optimisation (PSO) algorithm, ant colony optimisation (ACO), artificial fish swarm algorithm (AFSA), differential evolution (DE), artificial glowworm algorithm (AGA), invasive weed optimisation (IWO) algorithm and shuffled frog leaping algorithm (SFLA), etc. (Drezner and Misevicius, 2013;Wong and Ngan, 2013;Bai et al, 2013;Zhou and Huang, 2012;Brest et al, 2013;Zhou and Zhou, 2013;Ahmadi and Mojallali, 2012;Vatani et al, 2013). So far, these swarm intelligence algorithms have been successfully applied in many fields, which prove that swarm intelligence is a kind of new method which can effectively solve most global optimisation problems.…”

Section: Introductionmentioning

confidence: 99%

Research on parameters optimisation of SVM based on swarm intelligence

Ding¹,

Huang²

2014

IJCI

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Support vector machine (SVM) is a new machine learning method based on statistical learning theory, which has become a hot research topic in the field of machine learning because of its excellent performance. However, the performance of SVM is very sensitive to its parameters. At present, swarm intelligence is the most common method to optimise the parameters of SVM. In this paper, the research on parameters optimisation of SVM based on swarm intelligence algorithms is reviewed. Firstly, we briefly introduce the theoretical basis of SVM. Secondly, we describe the latest progress of parameters optimisation of SVM based on swarm intelligence in recent years. Finally, we point out the research and development prospects of this kind of method.

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Adaptive Mutated Momentum Shuffled Frog Leaping Algorithm for Design of Water Distribution Networks

et al. 2014

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Modification of an Industrial Ethane Recovery Plant Using Mixed Integer Optimization and Shuffled Frog Leaping Algorithm

Cited by 17 publications

References 20 publications

Heavy hydrocarbon recovery with integration of turboexpander and JT valve from highly CO2-containing natural gas for gas transmission pipeline

Heavy hydrocarbon recovery with integration of turboexpander and JT valve from highly CO2-containing natural gas for gas transmission pipeline

Research on parameters optimisation of SVM based on swarm intelligence

Adaptive Mutated Momentum Shuffled Frog Leaping Algorithm for Design of Water Distribution Networks

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