Flow-Loop Testing of Online Oil-in-Water UV-Fluorescence-Based Measurement

Stefan Jespersen, D. Hansen, Zhenyu Yang, S. Andersen
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Abstract

The online monitoring of Oil-in-Water (OiW) concentration in dynamic flow-loops using UV-Fluorescence-based sensors is investigated. Though the OiW sensors can be carefully calibrated in the static condition, many dynamic flow conditions can still impact their real-time measurement. In order to examine the considered OiW sensor’s capability in handling dynamic flows, an extensive experimental study has been committed, which considers the following aspects, such as (i) different flow-loop configurations, e.g., standalone-loops and cyclone-in-loop; (ii) different online sampling mechanisms, e.g., (direct) in-line measurement and (indirect) side-stream measurement; (iii) different flow-rates of total stream or side-stream under different configurations and sampling mechanisms; (iv) impacts of air bubbles and pressure-pumps. The experimental results show that the considered OiW sensor can provide quite reasonable dynamic measurements in general. However this sensor’s measurement can be very sensitive to different flow regimes, impurities (incl. air) in the measured stream as well as upstream (nearby) operating conditions. These observations could inspire automation researchers and industrial operators to create some innovative sensor fusion method(s), to combine this OiW measurement with other available measurements in the produced water treatment processes for better control of the de-oiling hydrocyclone system.
在线水包油紫外荧光测量的流环测试
研究了利用紫外荧光传感器在线监测动态循环中水中油(OiW)浓度的方法。虽然OiW传感器可以在静态条件下仔细校准,但许多动态流动条件仍然会影响其实时测量。为了检验所考虑的OiW传感器处理动态流动的能力,已经进行了广泛的实验研究,其中考虑了以下方面,例如(i)不同的流环配置,例如,独立环路和旋风环;(ii)不同的在线采样机制,例如(直接)在线测量和(间接)侧流测量;(iii)在不同配置和采样机制下,总流和侧流的流量不同;(iv)气泡和压力泵的冲击。实验结果表明,该传感器总体上可以提供相当合理的动态测量。然而,该传感器的测量对不同的流动状态、被测量流中的杂质(包括空气)以及上游(附近)的操作条件非常敏感。这些观察结果可以启发自动化研究人员和工业操作员创造一些创新的传感器融合方法,将OiW测量与采出水处理过程中的其他可用测量相结合,以更好地控制除油旋流器系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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