Abstract

The aim of this study is to introduce a new way to measure the water content of Crude Oil. In this measurement system, capacitive sensor is used as sensitive element and BP neural network model is adopted to deal with data. Water content and temperature are used as input parameters to set up BP neural network model. By MATLAB simulation, a moisture content of crude oil is forecasted, so that the influence comes from temperature variation is compensated and the accuracy of the measurement result is improved.

Keywords:

BP neural network, capacitive sensor, MATLAB simulation, temperature, water content,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.