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  4. Vol 7, Issue 1, 2024

Study on the sensitivity of electromagnetic wave to water content of oil-water mixture

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DOI: 10.23977/jeeem.2024.070118 | Downloads: 4 | Views: 159

Author(s)

Wenxin Ye 1, Xinjian Wang 2

Affiliation(s)

1 School of Information and Electronic Technology, Jiamusi University, Jiamusi, 154007, China
2 School of Physics and Electrical Engineering, Harbin Normal University, Harbin, 150025, China

Corresponding Author

Wenxin Ye

ABSTRACT

With the deepening of oilfield development and the increasing shortage of water resources, the accurate measurement of water content in oil-water mixture has become a key issue in oilfield development and production. This paper analyzes the sensitivity of electromagnetic waves to water content in water-oil mixture. By assuming that there is a linear relationship between the dielectric properties and water content, a water content detection model of crude oil is established. Full-wave simulation is made with COMSOL. The feasibility of water content detection with electromagnetic wave is studied by analyzing the receiving electric field and its frequency dependence. The research is instructive for non-destructive measurement of water content based on electromagnetic waves.

KEYWORDS

Sensitivity analysis of microwave method, water content, electromagnetic wave

CITE THIS PAPER

Wenxin Ye, Xinjian Wang, Study on the sensitivity of electromagnetic wave to water content of oil-water mixture. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 137-145. DOI: http://dx.doi.org/10.23977/jeeem.2024.070118.

REFERENCES

[1] Caixiang Xu, "The study on measurement of water content based on antenna theory," [D]. Xidian University, 2013. DOI: 10.7666 / d.D550277.
[2] Y. Gong, G. -w. Gao, P. Zhao, D. Wu, F. Wang and S. -l. Yan, "The study of Water Cut Detection Methods for Crude Oil," 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP), Hangzhou, China, 2022, pp. 152-155.
[3] M. Chen, Y. Feng and Y. Guo, "A Feasibility Study of Microwave Oil Pipeline Water Content Detection Based on Machine Learning," 2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI), Zakopane, Poland, 2022, pp. 442-446.
[4] Z. Zhang, X. Zhang, W. Wang, "Water content measurement by radio frequency method under the condition of oil-water two-pha sespiral flow," [J]. Chemical Engineering of Oil & Gas, 2021, 050(001):101-107,118.
[5] X. Wu, S. Zhang, "Detecting and Metering System of Pipeline"[J]. Marine Electric, 2014, 34(4):3. DOI: CNKI: SUN: CDJI.0.2014-04-010.
[6] Rezaeieh, S., Zamani, A., Bialkowski, K. et al. Feasibility of Using Wideband Microwave System for Non-Invasive Detection and Monitoring of Pulmonary Oedema. Sci Rep 5, 14047 (2015).
[7] M. Persson et al., "Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible," in IEEE Transactions on Biomedical Engineering, vol. 61, no. 11, pp. 2806-2817, Nov. 2014.
[8] Cheng Y, Fu M. Dielectric properties for non‐invasive detection of normal, benign, and malignant breast tissues using microwave theories [J]. Thoracic cancer, 2018, 9(4): 459-465.
[9] Yilmaz T, Foster R, Hao Y. Radio-frequency and microwave techniques for non-invasive measurement of blood glucose levels [J]. Diagnostics, 2019, 9(1): 6.
[10] Franceschelli L, Iaccheri E, Franzoni E, et al. Non-intrusive microwave technique for direct detection of concrete compressive strength monitoring by multivariate modeling[J]. Measurement, 2023, 206: 112332.
[11] Vijayakumar K, Wylie S R, Cullen J D, et al. Non-invasive rail track detection system using Microwave sensor[C]//Journal of Physics: Conference Series. IOP Publishing, 2009, 178(1): 012033.
[12] A. J. Canos, P. J. Plaza-Gonzalez, F. Penaranda-Foix and J. M. Catala-Civera, "Non-invasive Microwave Sensors for the Monitoring of the state of Liquids Used in the Polyurethane Industry," 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007), Valencia, Spain, 2007, pp. 56-61.
[13] Musumeci M, Cano J S A, Lazzati F, et al. Development of a Deep-Learning Pipeline to Detect and Locate Contaminants of Industrial Products via non-Invasive Microwave Signals[C]//2023 IEEE Conference on AgriFood Electronics (CAFE). IEEE, 2023: 45-49.
[14] S. Trabelsi and S. O. Nelson, "Microwave sensing of quality attributes of agricultural and food products," in IEEE Instrumentation & Measurement Magazine, vol. 19, no. 1, pp. 36-41, February 2016.
[15] E. Pievanelli, R. Stefanelli and D. Trinchero, "Microwave-based leaf wetness detection in agricultural wireless sensor networks," 2016 IEEE Sensors Applications Symposium (SAS), Catania, Italy, 2016, pp. 1-4.
[16] Marimuthu J, Loudon K M W, Gardner G E. Ultrawide band microwave system as a non-invasive technology to predict beef carcase fat depth [J]. Meat Science, 2021, 179: 108455.
[17] Hussain A, Pu H, Sun D W. Innovative nondestructive imaging techniques for ripening and maturity of fruits–a review of recent applications [J]. Trends in Food Science & Technology, 2018, 72: 144-152.
[18] D. Ruirong, Z. Li, Y. Pei and C. Feng, "Research on Measurement Technology of Moisture Content by Radio Frequency Method Based on Helical Antenna," 2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP), Xi'an, China, 2021, pp. 356-360.
[19] Zhang Dongzhi, Hu Guoqing and Xia Bokai, "Analysis of multi-factor influence on measurement of water content in crude oil and its prediction model," 2008 27th Chinese Control Conference, Kunming, China, 2008, pp. 430-435.
[20] Y. Sun, Y. Zhang and P. Peng, "A Method for Measuring Water Content of Oil Based on the Propagation of Electromagnetic Waves," 2009 International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, China, 2009, pp. 163-165. 
[21] X. Li, "Research and implementation of detection algorithm for crude oil moisture content in complex environment," [D]. Nanjing University of Posts and Telecommunications, 2022.

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