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Modelling of a Naphtha Recovery Unit (NRU) with Implications for Process Optimization

机译:石脑油回收装置(NRU)建模对工艺优化具有重要意义

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The naphtha recovery unit (NRU) is an integral part of the processes used in the oil sands industry for bitumen extraction. The principle role of the NRU is to recover naphtha from the tailings for reuse in this process. This process is energy-intensive, and environmental guidelines for naphtha recovery must be met. Steady-state models for the NRU system are developed in this paper using two different approaches. The first approach is a statistical, data-based modelling approach where linear regression models have been developed using Minitab ? from plant data collected during a performance test. The second approach involves the development of a first-principles model in Aspen Plus ? based on the NRU process flow diagram. A novel refinement to this latter model, called “withdraw and remix”, is proposed based on comparing actual plant data to model predictions around the two units used to separate water and naphtha. The models developed in this paper suggest some interesting ideas for the further optimization of the process, in that it may be possible to achieve the required naphtha recovery using less energy. More plant tests are required to validate these ideas.
机译:石脑油回收装置(NRU)是油砂行业用于沥青提取的工艺的组成部分。 NRU的主要作用是从尾矿中回收石脑油,以便在此过程中重复使用。该过程耗能,必须满足石脑油回收的环境准则。本文使用两种不同的方法开发了NRU系统的稳态模型。第一种方法是基于统计的数据建模方法,其中使用Minitab?开发了线性回归模型。根据性能测试中收集的工厂数据。第二种方法涉及在Aspen Plus?中开发第一性原理模型。基于NRU的流程图。在将实际植物数据与用于分离水和石脑油的两个单元周围的模型预测进行比较的基础上,提出了对后一种模型的新颖改进,称为“提取和重新混合”。本文开发的模型为进一步优化流程提出了一些有趣的想法,因为有可能使用更少的能量来实现所需的石脑油回收率。需要更多的工厂测试来验证这些想法。

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