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Oil spill modeling in deep waters: Estimation of pseudo-component properties for cubic equations of state from distillation data

机译:深水溢油建模:根据蒸馏数据估算状态立方方程的拟组分性质

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Deep-water oil spills represent a major, localized threat to marine ecosystems. Multi-purpose computer models have been developed to predict the fate of spilled oil. These models include databases of pseudo-components from distillation cut analysis for hundreds of oils, and have been used for guiding response action, damage assessment, and contingency planning for marine oil spills. However, these models are unable to simulate the details of deep-water, high-pressure chemistry. We present a new procedure to calculate the chemical properties necessary for such simulations that we validate with 614 oils from the ADIOS oil library. The calculated properties agree within 20.4% with average values obtained from data for measured compounds, for 90% of the chemical properties. This enables equation-of-state calculations of dead oil density, viscosity, and interfacial tension. This procedure enables development of comprehensive oil spill models to predict the behavior of petroleum fluids in the deep sea.
机译:深水石油泄漏对海洋生态系统构成了主要的局部威胁。已经开发了多用途计算机模型来预测溢油的命运。这些模型包括对数百种油进行蒸馏馏分分析得到的伪组分数据库,并已用于指导应对措施,损害评估和海洋溢油应急计划。但是,这些模型无法模拟深水高压化学的细节。我们提出了一种新的程序来计算此类模拟所必需的化学性质,并使用ADIOS油库中的614种油进行了验证。对于90%的化学性质,计算得出的性质与从被测化合物的数据获得的平均值相吻合在20.4%内。这样就可以进行死油密度,粘度和界面张力的状态方程计算。该程序可以开发综合的溢油模型,以预测深海中石油流体的行为。

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