Studies of methyldiethanolamine process simulation and parameters optimization for high-sulfur gas sweetening

Qiu, Kui; Shang, Jianfeng; Ozturk, Mesude; Li, T.F.; Chen, S.K.; Zhang, L.Y.; Liu, Siwen

doi:10.1016/j.jngse.2014.08.023

Cited by 29 publications

(16 citation statements)

References 10 publications

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“…In general, natural gas contains methane (75–90%), propane, butane, ethane, heavy hydrocarbons (1–3%), and also impurities such as water vapor, carbon dioxide (CO 2 ), hydrogen sulfide (H 2 S), mercaptans (RSH), carbonyl sulfide (COS), carbon disulfide (CS 2 ), and nitrogen [ 4 , 5 , 6 ]. Some of these impurities are toxic, corrosive, and cause environmental pollution after combustion so their removal from natural gas is extremely important [ 7 , 8 ]. One of the techniques for treating the natural gas stream is to use an aqueous alkanolamine such as methyl-diethanolamine (MDEA) which is prevalent in the removal of up to 30% of impurities from the gas stream [ 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Application of NF Polymeric Membranes for Removal of Multicomponent Heat-Stable Salts (HSS) Ions from Methyl Diethanolamine (MDEA) Solutions

et al. 2020

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This study presents an efficient and scalable process for removing the heat-stable salts (HSS) ions from amine solution while recovering methyl diethanolamine (MDEA) solution for its reuse in gas sweetening plants. The presence of HSS in the amine solution causes the loss of solvent capacity, foaming, fouling, and corrosion in gas sweetening units so their removal is crucial for a more well-performing process. Furthermore, the recovery of the amine solution can make the sweetening step a more sustainable process. In this study, for the first time, the removal of a multicomponent mixture of HSS from MDEA solution was investigated via a nanofiltration process using flat-sheet NF-3 membranes. The impact of operating parameters on salts and amine rejection, and flux, including the operating pressure, HSS ions concentration, and MDEA concentration in the feed solution was investigated. Results based on the nanofiltration of an amine stream with the same composition (45 wt.% MDEA solution) as that circulating in a local gas refinery (Ilam Gas refinery), demonstrated a removal efficiency of HSS ions in the range from 75 to 80% and a MDEA rejection of 0% indicating the possibility of reusing this stream in the new step of gas sweetening.

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Section: Introductionmentioning

confidence: 99%

Application of NF Polymeric Membranes for Removal of Multicomponent Heat-Stable Salts (HSS) Ions from Methyl Diethanolamine (MDEA) Solutions

et al. 2020

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“…In recent years, very few published articles research on the global optimization of operating conditions to reduce TCEC for the whole high-sulfur gas purification plant. Most optimization studies focus on the subsections, such as GSU (Jassim 2016;Peter et al 2011;Qiu et al 2014;Behroozsarand and Zamaniyan 2011;Al-Lagtah et al 2015), DU (Santos et al 2017;Rouzbahani et al 2014), SRU (Manenti et al 2014;Zarei et al 2016;Adewale et al 2016) and TGTU (Wahedi et al 2015). A typical Iranian gas sweetening plant was simulated by HYSYS v3.1 and optimized by NSGA-II method (Behroozsarand and Zamaniyan 2011).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of high-sulfur natural gas purification plant

Shang

Qiu

et al. 2019

Pet. Sci.

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There exists large space to save energy of high-sulfur natural gas purification process. The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas. A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax. Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution. To solve the problem that the process model does not converge in some conditions, back-propagation (BP) neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model. The uniform design method and the table U 21 (10 7) have been applied to design the experiment points for training and testing BP model. High prediction accuracy can be achieved by using the BP model. Nondominated sorting genetic algorithm-II has been developed to optimize the two objectives, and 100 Pareto optimal solutions have been obtained. Three optimal points have been selected and evaluated further. The results demonstrate that the total comprehensive energy consumption is reduced by 13.4% and the production rate of purified gas is improved by 0.2% under the optimized operating conditions.

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“…Thus, these impurities must be removed from the gas to reduce the harmful effects. Alkanol amine solutions including methyl-diethanolamine (MDEA), monoethanolamine (MEA), piperazine (PZ), diethanolamine (DEA) and diisopropanolamine (DIPA) are used in sweetening natural gas and removing impurities (Jaafari et al, 2018;Lu et al, 2017;Najibi and Maleki, 2013;Poormohammadian et al, 2015;Qeshta et al, 2015;Qiu et al, 2014;Rebolledo-Libreros and Trejo, 2004;Santaniello and Golemme, 2018). MDEA is usually used in the concentration range of 40 to 50% for the removal of acid gases in the gas sweetening unit (Keewan et al, 2018;Pal et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modelling Ion Transport in an Amine Solution Through a Nanofiltration Membrane

Ghorbani

Bayati

Kikhavani

2019

Braz. J. Chem. Eng.

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The performance of a flat sheet polyamide nanofiltration membrane in rejection of a binary mixture of heat stable salts (acetate and sulfate) from methyl-diethanolamine (MDEA) solution was investigated. The effects of pressure and concentration of MDEA solution on rejection of acetate and sulfate ions were studied. At MDEA concentration of 20% wt. and pressure of 70 bar, 80% and 98% rejection can be obtained for acetate and sulfate ions, respectively. Membrane performance and transport coefficients were investigated using the Spiegler-Kedem-Katchalsky (SKK) model, film theory and extended Nernst-Planck (FT-ENP) model. The results of the FT-ENP model show accurate agreement with experimental results. This result can be obtained due to considering the charge repulsion of sulfate ions. For sulfate ions, both models show errors less than 1% with >R 2 =0.98. In the case of acetate, errors less than 3% (>R 2 =0.75) and 2% (>R 2 =0.89) were obtained for the SKK and FT-ENP models, respectively.

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Studies of methyldiethanolamine process simulation and parameters optimization for high-sulfur gas sweetening

Cited by 29 publications

References 10 publications

Application of NF Polymeric Membranes for Removal of Multicomponent Heat-Stable Salts (HSS) Ions from Methyl Diethanolamine (MDEA) Solutions

Application of NF Polymeric Membranes for Removal of Multicomponent Heat-Stable Salts (HSS) Ions from Methyl Diethanolamine (MDEA) Solutions

Multi-objective optimization of high-sulfur natural gas purification plant

Modelling Ion Transport in an Amine Solution Through a Nanofiltration Membrane

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