| The three-phase flow of oil-gas-water is a very typical multiphase flow in the petroleum industry.The mixed fluid with the oil phase,gas phase and water phase as the main phase is widely used in oil field exploitation,but the three-phase flow of oil-gaswater is complicated.The characteristics make it difficult to detect the parameters.At present,there is no mature method and equipment for the flow measurement of oil-gaswater three-phase flow.In order to solve this problem,the electromagnetic flow measurement technology has been studied in depth.Firstly,for the measurement of the flow of oil-gas-water three-phase flow in oil wells,a measurement model of electromagnetic correlation flow measurement sensor was analyzed,and the optimal shape of the excitation coils was obtained.A combination of electromagnetic flow measurement technology and related flow measurement technology is effectively combined,and a new method for measuring three-phase flow of oil-gas-water is proposed.The magnetic field distributions of rectangular coils,racetrack coils and saddle coils were calculated.An indicator for evaluating of the magnetic field distribution of the excitation coils was proposed and the sensor excitation coils of the optimal shape was obtained.Secondly,a simulation model of measuring the fluid velocity in the pipeline was constructed by the electromagnetic correlation sensor,and the velocity of the fluid in the pipeline was simulated by the sensor at different electrode spacings when the total flow of oil and gas three-phase flow was different.FLUENT simulation software was used to simulated calculate the flow velocity of the constructed simulation model.Analyze the actual average flow velocity of the fluid in the measuring pipeline when the sensor electrode's lateral distance is different.Meanwhile The flow velocity of two pairs of upstream and downstream detection electrodes at different sensor electrode longitudinal spacings was analyzed.In turn,the physical quantity of the fluid's actual average flow velocity and associated flow velocity error rate was defined.Finally,the neural network model of the electrode spacing of the electromagnetic correlation flow sensor was constructed,and the optimal electrode structure of the sensor was optimized.Then the electromagnetic correlation sensor was developed and experimentally verified.The error rate of the actual fluid velocity and the related flow velocity was used as an indicator to evaluate the performance of the electrode spacing,and a neural network model was established for different electrode spacings when the total flow rate of oil-gas-water three-phase flow was different.The optimal structure optimization factor for the electrode spacing was defined.The optimal solution for this factor was found when different weights were found,and the sensor electrode spacing of the optimal structure was obtained.Using the optimized sensor structure,electromagnetic correlation sensor was developed and the senor measuring instrument was verified on a simulation device. |
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