Liu Dan, Wang Qisong, Liu Xin, Niu Ruixin, Zhang Yan, Sun Jinwei
Harbin Institute of Technology, School of Electrical Engineering & Automation, Harbin 150001, China.
Harbin Institute of Technology, School of Transportation Science and Engineering, Harbin 150090, China.
Sensors (Basel). 2016 Oct 21;16(10):1661. doi: 10.3390/s16101661.
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.
准确测量原油的含油量和含盐量对于估计石油储量和预测油井寿命都非常重要。目前的方法存在一些问题，如成本高、精度低和操作困难等。为了解决这些问题，我们提出了一种多功能传感器，它分别应用电导率法和超声法来测量油、水和盐的含量。基于交叉灵敏度理论，将这两个传感器理想地集成在一起以简化结构。进行了三元溶液的浓度测试以验证其有效性，然后应用典型相关分析来评估数据。从统计学角度来看，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飞行时间密切相关，这进一步验证了传感理论的正确性和集成设计的可行性。结合重建算法，该传感器可以精确地实现溶液含量的测量。所提出的传感器和方法在原油在线检测方面的潜在发展具有重要的参考价值和实际意义。
