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A Multifunctional Sensor in Ternary Solution Using Canonical Correlations for Variable Links Assessment

机译:基于典范相关性的三元解决方案中的多功能传感器,用于可变链接评估

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Accurately measuring the oil content and salt content of crude oil is very important for both estimating oil reserves and predicting the lifetime of an oil well. There are some problems with the current methods such as high cost, low precision, and difficulties in operation. To solve these problems, we present a multifunctional sensor, which applies, respectively, conductivity method and ultrasound method to measure the contents of oil, water, and salt. Based on cross sensitivity theory, these two transducers are ideally integrated for simplifying the structure. A concentration test of ternary solutions is carried out to testify its effectiveness, and then Canonical Correlation Analysis is applied to evaluate the data. From the perspective of statistics, the sensor inputs, for instance, oil concentration, salt concentration, and temperature, are closely related to its outputs including output voltage and time of flight of ultrasound wave, which further identify the correctness of the sensing theory and the feasibility of the integrated design. Combined with reconstruction algorithms, the sensor can realize the content measurement of the solution precisely. The potential development of the proposed sensor and method in the aspect of online test for crude oil is of important reference and practical value.
机译:准确地测量原油中的油含量和盐含量对于估计油储量和预测油井的寿命都非常重要。当前方法存在一些问题,例如成本高,精度低以及操作困难。为了解决这些问题,我们提出了一种多功能传感器,该传感器分别应用电导率法和超声法来测量油,水和盐的含量。根据交叉灵敏度理论,这两个传感器理想地集成在一起以简化结构。对三元溶液进行浓度测试以证明其有效性,然后应用典范相关分析对数据进行评估。从统计的角度来看,传感器的输入(例如,油浓度,盐浓度和温度)与其输出(包括输出电压和超声波的飞行时间)紧密相关,从而进一步确定了传感理论和传感器的正确性。集成设计的可行性。结合重构算法,传感器可以精确实现溶液的含量测量。所提出的传感器和方法在原油在线测试方面的潜在发展具有重要的参考和实用价值。

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