An investigation on hydrate prediction and inhibition: An industrial case study

IF 1.6 4区 工程技术 Q3 ENGINEERING, CHEMICAL Canadian Journal of Chemical Engineering Pub Date : 2024-06-05 DOI:10.1002/cjce.25357
Nejat Rahmanian, Nejmi Söyler, Farai Munashe Wande, Hamed Hashemi
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Abstract

This investigation reports the first study to predict natural gas hydrate formation using both Aspen HYSYS® and HydraFlash software for various gas compositions and thermodynamic inhibitors (monoethylene glycol [MEG] concentrations at 10, 20, 30, and 40 wt.% and methanol concentrations at 10 and 20 wt.%). The simulated predictions are compared with the results of the experimental data in the literature. It has been shown that HydraFlash software can accurately predict hydrate formation conditions for a given industrial case, without having to carry out costly experimental work. This work also evaluated the effect of inhibitors and it appears that inhibitor type and concentration are determined according to condition of gas composition. MEG is consequently selected as the most ideal hydrate inhibitor for the industrial case. This also was confirmed through COSMO-RS studies in which the sigma profile and sigma potential of the considered inhibitors were obtained and presented using density functional (DFT) calculations to verify the hydrogen bonding affinities of the inhibitors to water molecules. HydraFlash was utilized to predict the dissociation conditions of hydrates under the influence of a high concentration of MEG inhibition, reaching up to 40 wt.% at 313 K and a pressure of 311.1 bar. Finally, it is shown that both software packages are quite accurate and useful tools for the prediction of hydrate for simple systems. However, HydraFlash can simulate more complex systems, including different types of salts at higher pressures. Investigation results indicate insightful guidance for accurately predicting hydrate dissociation under simulated conditions.

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水合物预测和抑制研究:工业案例研究
本研究报告首次使用 Aspen HYSYS® 和 HydraFlash 软件预测各种气体成分和热力学抑制剂(单乙二醇 [MEG] 浓度为 10、20、30 和 40 wt.%,甲醇浓度为 10 和 20 wt.%)的天然气水合物形成。模拟预测结果与文献中的实验数据结果进行了比较。结果表明,HydraFlash 软件可以准确预测特定工业情况下的水合物形成条件,而无需进行昂贵的实验工作。这项工作还对抑制剂的效果进行了评估,结果表明抑制剂的类型和浓度取决于气体成分条件。因此,MEG 被选为工业案例中最理想的水合物抑制剂。这一点也通过 COSMO-RS 研究得到了证实,该研究利用密度泛函 (DFT) 计算获得并展示了所考虑的抑制剂的西格玛曲线和西格玛电位,以验证抑制剂与水分子的氢键亲和力。利用 HydraFlash 预测了高浓度 MEG 抑制剂影响下的水合物解离条件,在 313 K 和 311.1 bar 压力下,浓度最高可达 40 wt.%。最后,研究表明这两个软件包都是非常准确和有用的工具,可用于预测简单系统中的水合物。不过,HydraFlash 可以模拟更复杂的系统,包括高压下的不同类型盐。调查结果为在模拟条件下准确预测水合物解离提供了深刻的指导。
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来源期刊
Canadian Journal of Chemical Engineering
Canadian Journal of Chemical Engineering 工程技术-工程:化工
CiteScore
3.60
自引率
14.30%
发文量
448
审稿时长
3.2 months
期刊介绍: The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.
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