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

Dan Liu1, Qisong Wang2, Xin Liu3

  • 1Harbin Institute of Technology, School of Electrical Engineering & Automation, Harbin 150001, China. liudan@hit.edu.cn.

Sensors (Basel, Switzerland)
|October 25, 2016
PubMed
Summary

A new multifunctional sensor accurately measures oil and salt content in crude oil using conductivity and ultrasound methods. This integrated design offers a precise, cost-effective solution for oil reserve estimation and well lifetime prediction.

Keywords:
canonical correlation analysiscontent measurementmultifunctional sensorternary solution

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Area of Science:

  • Petroleum Engineering
  • Chemical Sensing
  • Instrumentation

Background:

  • Accurate measurement of oil and salt content in crude oil is crucial for reserve estimation and predicting oil well lifetime.
  • Current measurement methods suffer from high costs, low precision, and operational difficulties.

Purpose of the Study:

  • To develop a multifunctional sensor for precise measurement of oil, water, and salt content in crude oil.
  • To address the limitations of existing measurement techniques.

Main Methods:

  • Integration of conductivity and ultrasound methods based on cross-sensitivity theory.
  • Testing the sensor's effectiveness using concentration tests of ternary solutions.
  • Application of Canonical Correlation Analysis for data evaluation.

Main Results:

  • Demonstrated strong correlations between sensor inputs (oil concentration, salt concentration, temperature) and outputs (output voltage, time of flight of ultrasound wave).
  • Validated the sensing theory and the feasibility of the integrated sensor design.
  • Achieved precise content measurement of solutions when combined with reconstruction algorithms.

Conclusions:

  • The proposed multifunctional sensor provides a precise and potentially cost-effective solution for measuring crude oil composition.
  • The integrated design and applied methods show significant practical value for online testing in the petroleum industry.