Research on Dynamic Fluid Level Acquisition Method of Pumping Unit Based on Multiple Regression Optimization

Aiming at the problems of low accuracy and poor applicability caused by the influence of subjective and objective factors in traditional methods for obtaining dynamic fluid levels in pumping wells, this paper proposes a method based on multivariate regression optimization. The effective liquid column load is solved by inverting the downhole pump power diagram with the indicator diagram collected on site, and the optimal calculation of the fluid level is carried out with the multiple regression algorithm. Through the field application, the average accuracy of the initial dynamic liquid level calculation of 60 groups of verified sample data is 77.47%,, which improved to 96.84% after optimization and correction. Under variable stroke frequency conditions of 3–6 min⁻1, the average errors of the new method compared to downhole pressure gauges and low-pressure echo meters were 29 m and 62 m, respectively, both within the error standards for field applications. This method is suitable for the background software algorithm of the digital construction of pumping Wells, and realizes the function of high-precision real-time automatic measurement of the fluid level, which can greatly reduce the workload of manual low-pressure liquid level measurement and reduce the labor cost of oilfield.