Simulation and feasibility analysis of structured packing replacement in absorption column of natural gas dehydration process: A case study for Farashband gas processing plant, Iran

Jokar, Seyyed Mohammad; Rahimpour, Hamid Reza; Momeni, Hossein; Rahimpour, Mohammad Reza; Abbasfard, Hamed

doi:10.1016/j.jngse.2014.03.005

Cited by 26 publications

(5 citation statements)

References 16 publications

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“…(6) Performance criteria, constraints, and bounds are specified. (7)Stochastic optimization is performed under specified constraints and bounds in MATLAB. (8)The constraints are iteratively adjusted following the performance index to obtain the Pareto optimal solution meeting sustainability criteria (economic and environmental).…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Rahimpour et al 6 have improved the dehydration unit's performance in terms of dew point, glycol consumption, and greenhouse gas emission by optimizing the operating conditions obtained from simulation. Jokar et al 7 performed an economic analysis using structured packing instead of a plate column as the absorber in the Farashband plant. Jacob 8 has studied the effects of TEG circulation rate and the number of plates in the absorber on the dry gas water content.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

Mukherjee

Diwekar

2021

ACS Sustainable Chem. Eng.

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Natural gas processing involves the removal of acidic gases, followed by dehydration. The dehydration process is primarily carried out through absorption in triethylene glycol (TEG). During the dehydration process, volatile organic compounds (VOCs) including benzene, toluene, ethylbenzene, and isomers of xylene together known as BTEX present in natural gas are absorbed into the glycol solvent. During the thermal regeneration process of TEG, a substantial amount of BTEX and VOCs are emitted resulting in adverse environmental and health impacts, leading to the need for strict regulations. Effective mitigation of emission is essential for the natural gas industry. There are several process parameters associated with major equipment that may impact BTEX emission. Regulation of some of these parameters is found to have an adverse impact on the dehydration process as well. In this work, a multi-objective optimization is performed in order to find the optimal operating conditions related to the process parameters to mitigate BTEX emission. It is also essential to select the most important parameters from a larger set so that a reliable analysis can be performed using the reduced set of parameters. The analysis is performed using data-driven modeling using machine-learning algorithms, followed by optimization with a probabilistic technique. The least absolute shrinkage and selection operator (lasso) method is used for variable selection; support vector regression (SVR) is used for metamodeling; and a novel metaheuristic optimization algorithm, efficient ant colony optimization (EACO), is used for optimization. The surrogate or metamodel is generated with data obtained from process simulation carried out using ProMax. Using the lasso–SVR–EACO strategy, different optimized sets of operating conditions that minimize the BTEX emission for a stipulated dry gas water content, were obtained. The results show that BTEX released from the dehydration process can be mitigated by optimally choosing the TEG circulation rate, reboiler temperature, stripping gas flow rate, and absorber pressure.

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Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

Mukherjee

Diwekar

2021

ACS Sustainable Chem. Eng.

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“…The stripping gas is usually nitrogen [25]. Water can be removed from the stripping gas by cooling it well below waters dew-point [26].…”

Section: Natural Gas Dehydration Process Simulationmentioning

confidence: 99%

The Impact of Stripping Gas Flow Rate on Triethylene Glycol Losses from Glycol Regeneration Unit: Simulation Study

Tk¹,

Rk²,

FH³

et al. 2017

J Chem Eng Process Technol

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Natural gas can be considered as one of the most important fossil fuels that is increasingly consumed around the world. It is an environmental friendly fuel of high heating value. However, the unrefined natural gas produced from deep reservoirs may contain some impurities including sulfur and nitrogen compounds as well as water vapour. The presence of these undesirable compounds may induce corrosion and environmental pollution, because of that it is necessary to minimize or remove those impurities from natural gas streams. Triethylene glycol (TEG) with 99 wt.% is typically utilized to reduce the water vapor contact to less than 1 ppm. Indeed, glycol purities up to 99.9 wt% can be achieved by using stripping gases include Nitrogen. However, glycol losses is behind some technical problems in the dehydration process. The research is aimed at simulation the prospective gas dehydration process using Aspen HYSYS simulator. The effect of Nitrogen stripping rate on TEG losses from glycol regenerator tower, TEG lean wt.%, and water content in natural dry gas were investigated and correlated. The design of the dehydration system was simulated adequately to achieve a reduction in natural gas water content to less than 0.1 ppm.

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“…Jokar et al simulated the natural gas dehydration plant of the Farashband gas processing plant . Their results showed that revamping of trays with structured packing could reduce outlet natural gas dew point and improve the positive effect of other parameters on the performance of the dehydration unit.…”

Section: Introductionmentioning

confidence: 99%

Technical and economic evaluation of triethylene glycol regeneration process using flash gas as stripping gas in a domestic natural gas dehydration unit

Affandy

Kurniawan

Handogo

et al. 2020

Engineering Reports

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Natural gas from an underground reservoir is typically saturated with water vapor. Removal of this water vapor is required in the gas processing to avoid serious problems. This study investigated the technical and economic aspects of a triethylene glycol (TEG) regeneration unit in a domestic natural gas processing plant. This study aims to improve the performance of this dehydration unit to meet sales gas specifications while minimizing the Total Annual Cost (TAC). The important variables in this work are TEG circulation mass flow and rerouting the gas from TEG Flash Drum to TEG Regenerator as stripping gas. The flash gas, instead of discharged directly to the Flare system, is routed to the TEG Regenerator and serves as stripping gas agent to improve the TEG purity. The results revealed that utilizing flash gas as stripping gas has allowed lower TEG circulation mass flow rate and reduced the reboiler duty from 1.464 to 0.934 GJ/h (a 36.2% reduction). The TAC was reduced from $ 296 058/year to $ 236 890 /year (20.0% reduction). Through this work, a more economical design was obtained compared to the base case design. K E Y W O R D Sdehydration unit, total annual cost, triethylene glycol 1 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Simulation and feasibility analysis of structured packing replacement in absorption column of natural gas dehydration process: A case study for Farashband gas processing plant, Iran

Cited by 26 publications

References 16 publications

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

The Impact of Stripping Gas Flow Rate on Triethylene Glycol Losses from Glycol Regeneration Unit: Simulation Study

Technical and economic evaluation of triethylene glycol regeneration process using flash gas as stripping gas in a domestic natural gas dehydration unit

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