Abstract
In this paper, we are considering the possibility of automatic control of oil production equipment performance based on diagnostic data. It was analyzed of existing approaches to the well production rate estimation equipped with sucker rod pump unit. Then we were examined the data acquisition from detectors of oil well with sucker rod pumps. An estimating production rate based on wattmeterograms and dynamograms are being considered, and compared their effectiveness. During the testing of the calculation algorithms, an estimate of the relative error in determining the production rate from wattmetering data was obtained. Refining the experimental conditions, improving the procedure for identifying unknown parameters of the model and telemetry parameters will improve the accuracy of the estimate. The coupling coefficient between the calculated and measured values of the flow rate shows the consistency of the approach to the determination of the flow rate over the area of the dynamogram or the wattmetering data, which allows estimating the flow rate of a well without a flowmeter. The algorithm for estimating the flow rate according to the wattmeterogram data makes it even more cost-effective to estimate the production rate by refusing a dynamograph. Thus, operational control of the operating modes of each well is provided by expanding the functionality of the control station based on the use of diagnostic information in addition for management purposes.
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Tagirova, K.F., Ramazanov, A.R. (2020). Automatic Control of the Oil Production Equipment Performance Based on Diagnostic Data. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_18
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DOI: https://doi.org/10.1007/978-3-030-39225-3_18
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