Seeking advice on measuring the density of the medium with a mass flow meter
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Our company uses a Coriolis mass flow meter to measure the crude oil that enters the facility; the model of this flow meter is 300, and the temperature of the fluid is around 20 degrees Celsius. The density of the crude oil, as determined by our company’s quality control department, is approximately 0.8455, while the density indicated by the flow meter is around 0.8368. I would like to ask the experts: what extent of error in density measurement will ultimately affect the accuracy of volume calculations?
The density deviation is approximately 0.09; it is likely a deviation that arises during the calibration process, as the drift deviation during operation is generally not this large.
This should be accurate; the flow rate of crude oil is determined through actual measurements under specific temperature and pressure conditions. The density of the crude oil as measured by the quality control department is around 0.8455, at a temperature of 20 degrees Celsius. Therefore, it’s necessary to consider the actual conditions under which the testing was carried out
Teacher, can this be corrected?
Teacher, our company’s laboratory conducts tests indoors, at a temperature of around 20 degrees. Will this have any impact?
A simple calibration of the mass flow meter can be carried out using a medium with a known density, and by entering the correct temperature correction factor, the deviation should decrease. Additionally, it is possible to check the consistency between laboratory data and online data, which can also be achieved through linear correction. Temperature has a significant effect on density, due to the principle of thermal expansion and contraction.
It is recommended not to make any changes, as the measurement accuracy is within the allowable error range; if modifications are made, it will be necessary to calibrate the flow meter, which is quite troublesome
For accurate measurements, it is recommended to use a radioactive densitometer for calibration; based on the principles of measurement, this approach enables accurate and stable results. For even higher precision, a model with temperature compensation can be used. I hope the suggestions will be helpful to you.