2022
DOI: 10.1016/j.egyr.2022.02.013
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Analysis and experimental study of oil well indicator diagram based on electric parameter method

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Cited by 4 publications
(2 citation statements)
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“…From Table 2 and Figure 17 , it can be seen that under the same displacement measurement conditions, the average relative error of the polished rod load measured by the soft sensor method and the dynamometer method is 3.95%. Yin’s model with crank angle as input has an error rate of 10% [ 14 ]. Lu’s model for solving indicator diagram based on FOA-BP neural network optimization has an average relative error of 4.82% [ 15 ].…”
Section: Field Test Of Soft Sensing For the Indicator Diagram Of The ...mentioning
confidence: 99%
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“…From Table 2 and Figure 17 , it can be seen that under the same displacement measurement conditions, the average relative error of the polished rod load measured by the soft sensor method and the dynamometer method is 3.95%. Yin’s model with crank angle as input has an error rate of 10% [ 14 ]. Lu’s model for solving indicator diagram based on FOA-BP neural network optimization has an average relative error of 4.82% [ 15 ].…”
Section: Field Test Of Soft Sensing For the Indicator Diagram Of The ...mentioning
confidence: 99%
“…In this study, firstly, the mathematical models of displacement and torque factor of the horsehead suspension point of the pumping unit have been established based on the easily measured beam inclination angle. Secondly, by analyzing the motion law and the energy flow mechanism of the beam pumping unit system [12][13][14][15][16], the correlation model of the input electrical parameters of the motor, the parameters of the four-bar linkage mechanism of the pumping unit, and the pumping unit suspension point load has been established. The real-time collected beam inclination angle and input electrical parameters of the motor have been substituted into the above model, and the polished rod displacement and load value have been calculated.…”
Section: Introductionmentioning
confidence: 99%