DIGITAL PROCESSING OF VORTEX FLOWMETER SIGNALS

This article examines the problem of introducing a standard for the quality of measurements of petroleum products coming out of a well in production. The aim of the work is to develop a solution to improve the accuracy of the measurement information obtained from piezoelectric sensors of vortex flowmeters using methods of software processing of the results. In accordance with the aim the following tasks were set: to analyze existing methods for oil and gas flow measuring, to analyze methods for digital processing and filtering signals from the sensor element of the vortex flowmeter, to classify the interference of the output signal from the sensor, to develop models for changing the interference of the signal from the vortex flowmeter, to develop a software solution for an interference filtering algorithm using fast Fourier transform for vortex flowmetersIt has been proven that as a criterion for excluding the self-propelled phenomenon of a vortex flowmeter, a threshold amplitude level can be taken, which does not allow flow measurement to be carried out until a certain signal amplitude level is reached.It has been established that the use of digital signal processing methods using an analog-to-digital converter can significantly reduce the influence of interference and increase the accuracy and reliability of measurements using digital filters and spectral analysis based on the Fourier transform, as well as avoiding the self-propelling phenomenon during operation due to the threshold amplitude level.Criteria have been established for determining interference, according to which the classification of interference has been compiled. It is also determined that the signal with the largest amplitude is the useful signal.