| The well indicator diagram is an important representation of the well working status, can fully reflect the status of the pumping unit operation and oil exploitation. In examining the output per unit, tracking the dynamic situation of stratigraphic oil deposit, evaluating and predicting the well development potential, general analysising the global production capacity of oil field, etc., indicator diagram analysis has made great success and became the main method. But it can only reflect the working condition of underground, can not effectively analyze the operation situation on the ground, and has limitations in monitoring and analyzing the whole well working condition. Electrical diagrams can directly reflect the status of energy consumption and efficiency of the pumping unit, accurately reflect the well working state on the ground and make up the defect of the indicator diagram. Therefore, the method of synchronous acquisition indicator diagram and electrical parameters was presented in this paper, and the synchronous acquisition system was designed, and this laid a solid foundation for more comprehensively reflecting the whole oil well working condition and analyzing the well energy efficiency.In this paper, based on the status of the indicator diagram and electrical parameters measurement at home and abroad, summarizing and comparing the principle of the electrical parameters and indicator diagram measurement, combining with the practical well working conditions, two wattmeters were used to measure the electric power, and the ANF + FFT electric parameter measurement algorithm was presented, the feasibility of the algorithm was verified by simulation. On this basis, the synchronous acquisition system based on the STM32F407 embedded processor was designed, and PC software based on VB language was developed, the synchronous measurement of the indicator diagram and the electrical parameters was realized. The experimental tests show that the proposed synchronization acquisition system can fully reflect the working condition of oil well, and has great significance for oilfield enterprises in yield prediction and the energy efficiency evaluation. |