Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Embedded System-Based Fast Fourier Transform Method for Measuring Water Content in Crude Oil

  • Shuqi Jia (School of Information and Control Engineering, Liaoning Petrochemical University) ;
  • Xiaolei Wang (School of Information and Control Engineering, Liaoning Petrochemical University) ;
  • Zhe Kan (School of Information and Control Engineering, Liaoning Petrochemical University)
  • Received : 2023.03.13
  • Accepted : 2023.08.06
  • Published : 2024.06.30
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Abstract

The moisture content of crude oil notably affects various aspects of oil production, storage, transportation, and exploration. However, accurately measuring this moisture content is challenging because of numerous influencing factors, leading to a lack of precision in existing detection methods. This inadequacy hinders the progress of China's petroleum industry. To overcome these challenges, this paper proposes a conductivity-based method for measuring crude oil moisture content. By employing an embedded system, we designed a sensor comprising five electrodes. Additionally, we developed signal excitation and signal processing circuits. Moreover, a software program was designed to analyze and compute the output signal using fast Fourier transform operations. This facilitated the identification of flow patterns, computation of relevant flow rates, and establishment of correlation rates based on frequency spectral characteristics. Based on experimental results, we established a functional relationship between measurement parameters and crude oil moisture content. This study enhanced the precision of moisture content measurement, thereby addressing existing limitations and fostering the advancement of China's petroleum industry.

Keywords

Acknowledgement

This study was also supported by the Liaoning Natural Science Foundation (No. 2020019), China.

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