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Compositional Analysis + Hydrate Dissociation Conditions Measurements for Carbon Dioxide + Methane + Water System

机译:二氧化碳+甲烷+水系统的成分分析+水合物解离条件测量

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A detailed description of an experimental “in-house” set-up based on the“static-analytic” technique with gas phase capillary sampling designed, built, and improved tomeasure phase equilibria (pressure, temperature, and compositions) under gas hydrate formationconditions is presented in this work. The apparatus is suitable for measurements at temperaturesranging from (233 to 373) K and pressures up to 60 MPa. It was used to study phase equilibria inthe carbon dioxide + methane + water system under hydrate formation conditions. An isochoricpressure-search method was used to measure hydrate dissociation conditions. The experimentaldata have been compared successfully with the literature data. The compositions of the gas phasein equilibrium with the hydrate and aqueous phases were measured using gas chromatographytechnique and compared successfully with the literature data. The compositions of the hydrateand aqueous phases were determined by applying material balance equations. The experimentaldata on the compositions of the hydrate have been compared successfully with the literature data.To solve the latter equations, the Newton’s numerical method coupled with the DifferentialEvolution optimization strategy was employed. All the aforementioned experimental data(hydrate dissociation conditions + compositions analysis) have been compared with thepredictions of two thermodynamic models, namely CSMGem and HWHYD. A discussion ismade on the reliabilities of the predictions of the latter models.
机译:基于的实验性“内部”设置的详细说明 设计,构建并改进了带有气相毛细管采样的“静态分析”技术, 在天然气水合物形成过程中测量相平衡(压力,温度和组成) 在这项工作中提出了条件。该仪器适合在温度下进行测量 (233至373)K,压力高达60 MPa。它被用来研究相平衡 在水合物形成条件下的二氧化碳+甲烷+水系统。等速 压力搜索法用于测量水合物的解离条件。实验性 数据已成功与文献数据进行了比较。气相的组成 使用气相色谱法测量与水合物和水相平衡的状态 技术并成功地与文献数据进行了比较。水合物的组成 水相通过应用物料平衡方程确定。实验性 水合物组成的数据已经成功地与文献数据进行了比较。 为了解决后面的方程,牛顿的数值方法与微分相结合 采用了进化优化策略。所有上述实验数据 (水合物解离条件+组成分析)已与 CSMGem和HWHYD这两个热力学模型的预测。讨论是 依靠后一种模型的预测的可靠性。

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