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

Affandy, Sony Ardian; Kurniawan, Adhi; Handogo, Renanto; Juwari, Juwari; Chien, I‐Lung

doi:10.1002/eng2.12153

Cited by 20 publications

(5 citation statements)

References 21 publications

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“…The cost calculation refers to the correlation formula of Neagu, [ 20,21 ] and the fixed investment cost (ISBL) includes the cost of dehydration core equipment, equipment construction cost, and equipment installation cost (labor service, supervision cost). Calculated as follows [ 22 ]

$$\text{ISBL} = \sum_{i = 1}^{i = M} \left(\right.

…”

Section: Economic Evaluationmentioning

confidence: 99%

Selection of Natural Gas Dehydration Process for Offshore Floating Production Storage and Offloading

Zhu,

Wang,

Cao

et al. 2024

Energy Tech

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Based on the oil and gas component data of an offshore gas field in West Africa, the steady‐state models of the triethylene glycol (TEG) dehydration process and the low‐temperature separation dehydration process are established. The adaptability of two kinds of processes to the disturbance of pressure, temperature, and flow of imported natural gas source is studied, and the sensitivity analysis is carried out. In addition, the investment cost and operating cost of the two types of processes are compared. The low temperature separation dehydration process is more adaptable to the disturbance of inlet gas source than the TEG dehydration process. The former is more expensive to build than the latter, but less expensive to run. The low temperature separation dehydration is preferred as the natural gas dehydration process which is more suitable for floating production storage and offloading.

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$$\text{ISBL} = \sum_{i = 1}^{i = M} \left(\right.

…”

Section: Economic Evaluationmentioning

confidence: 99%

Selection of Natural Gas Dehydration Process for Offshore Floating Production Storage and Offloading

Zhu,

Wang,

Cao

et al. 2024

Energy Tech

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“…On the other hand, Darwish and Hilal [29] found that increasing solvent fow rate could lead to a decrease in solvent purity due to chemical dissolution, and hence, moisture content decreases. Many works such as the research works of Amouei Torkmahalleh et al [38], Hlavinka et al [39], Braek et al [22], and Sony et al [40] have been directed toward studying the NG dehydration operating conditions. Siti et al [41] studied the efect of operational parameters on the performance of natural gas dehydration process and an optimization of the operational parameters using symmetry process simulation software was carried out.…”

Section: Introductionmentioning

confidence: 99%

Analysis Study of Available Alternatives for Mitigation of Aromatic Hydrocarbon Emissions from a Glycol Dehydration Unit

Shoaib,

Ahmed,

Gadallah

et al. 2024

International Journal of Chemical Engineering

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A natural gas (NG) dehydration unit based on glycol absorption is considered one of the most important gas processing units, aiming to decrease water content and consequently adjust its dew point. However, during this process, not only water is absorbed by the glycol solvent, but also some aromatic compounds, including benzene, toluene, ethylbenzene, and xylene (BTEX), in addition to volatile organic compounds (VOC), are absorbed. These compounds are released during glycol regeneration into the atmosphere, resulting in environmental pollution and consequent catastrophic mental and physical health problems. This study aims to minimize BTEX emissions while ensuring efficient dew point control. Various strategies have been adopted to control BTEX emissions, but the present work focuses on optimizing operating conditions and investigating the influence of operational variables on BTEX emissions, as well as NG water content. LINGO optimization software and HYSYS (version 11) are used to find the plant’s optimum conditions for minimizing BTEX emissions and satisfying efficient dew point control. Simulation results show that stripping gas, triethylene glycol (TEG) circulation rate, and inlet feed gas temperature significantly affect BTEX emissions. The proposed optimum operating conditions in this work resulted in a reduction in BTEX emissions by about 81% while satisfying the required NG dew point. Furthermore, two quadratic equations are developed based on regression analysis for efficient calculation of the BTEX emissions and water dew point at any operational variables.

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“…The raw gas extracted from natural gas wells contains acid substances and moisture, which makes the raw gas unable to meet the requirements of transportation and utilization. Triethylene glycol (TEG) dehydration plant is a device for removing moisture from raw gas [1]. Due to the strong coupling between the monitoring parameters in the dehydration system, Industrial big data has spawned the rapid development of equipment condition monitoring and fault diagnosis technology.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal graph convolutional networks driven by data-physical fusion for parameter prediction of natural gas dehydration system

Yin

Wang

2023

Meas. Sci. Technol.

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Triethylene glycol (TEG) dehydration unit is a piece of essential device for removing moisture from raw natural gas during natural gas production. However, the existing station equipment management systems are mostly collection-oriented with little analysis, lack the effective methods of parameter prediction and fault warning, and the strong coupling between the monitoring parameters is a problem should be study. To solve these problems, this paper analyzes the time dependence and spatial correlation of these parameters. Also, a spatio-temporal graph convolutional networks prediction model driven by data-physical fusion (SG-STGCN) is proposed for constructing the graph structure. Firstly, the signed directed graph (SDG) model is established based on the physical process, and the weight of each edge is obtained by using the grey relational analysis (GRA). Secondly, by stacking spatio-temporal convolutional modules, the temporal and spatial dependencies over a long range of time are captured to realize multivariate parameter prediction. Then, the real-time monitoring data of a dehydration station are used for analysis. The experimental results showed that the proposed method can achieves the best predict result compared with other methods, and can be used in the fault early warning to maintain high reliability of equipment. Finally, the SG-STGCN has been integrated and tested successfully on the real-time monitoring platform of a dehydration unit.

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

Cited by 20 publications

References 21 publications

Selection of Natural Gas Dehydration Process for Offshore Floating Production Storage and Offloading

Selection of Natural Gas Dehydration Process for Offshore Floating Production Storage and Offloading

Analysis Study of Available Alternatives for Mitigation of Aromatic Hydrocarbon Emissions from a Glycol Dehydration Unit

Spatio-temporal graph convolutional networks driven by data-physical fusion for parameter prediction of natural gas dehydration system

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