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Complex crude oil fouling layers: Use of model predictions to detect inorganics breakthrough

机译:复杂原油污垢层:使用模型预测来检测无机突破

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摘要

Crude oil fouling models have greatly improved in the past two decades. However, most models focus on the deposition of organic species at high temperatures (i.e. greater than 200 degrees C). In this paper, a deposit model, capable of capturing simultaneously the deposition of both organic and inorganic species, is used to track deposition history in a shell-and-tube heat exchanger at the hot end of a refinery pre-heat train. The model was previously fitted to plant data and the results compared to the experimental characterization of deposits. It is shown that such a model, together with plant data, can be used (i) to describe the development of complex deposit layers; (ii) to detect and diagnose changes in composition of the deposit. From a practical perspective, it is then possible to alert plant operators of unexpected events such as breakthrough of inorganics at an early stage and help in planning corrective actions.
机译:原油污垢模型在过去二十年中大大提高。 然而,大多数模型聚焦在高温下的有机物种(即大于200摄氏度)。 在本文中,能够同时捕获有机和无机物质的沉积模型,用于在炼油厂预热列的热端履行壳管热交换器中的沉积历史。 与沉积物的实验表征相比,该模型预先安装在植物数据和结果。 结果表明,可以使用这种模型与植物数据一起使用(i)来描述复合沉积物的发展; (ii)检测和诊断矿床组成的变化。 从实际的角度来看,可以在早期阶段提醒植物运营商,例如无机突破,并有助于规划纠正措施。

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