Abstract
The software model of beam pumping unit was built through the physical simulation pumping unit lifting system in the Internet of Things laboratory, and the lifting model was updated after mutual verification to form the digital twin system of oil and gas production lifting. Based on the digital twin of beam pumping unit and the real-time data of oil and gas production, the whole process of oil and gas lifting process production is formed, and a flexible closed-loop control method based on the digital twin is obtained. The method is based on the detailed and in-depth analysis of the whole movement, which selecting the load as the monitoring physical quantity, and improving the system efficiency. The method is to change the maximum and minimum load, reduce the input power and improve the system efficiency under the condition of maintaining a certain output. By comparing and analyzing the indicator diagram of oil well production before and after the flexible control, the flexible control method based on digital twin reduces the loss of mechanical operation and saves the consumption of electric energy, so that the efficiency of the pumping unit’s lifting system reaches the maximum. At the same time, the control and analysis method based on digital twinning is a self-diagnosis, adjustment and control method of intelligent ecology, which is the inevitable trend of the development of intelligent oilfield.
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