| In the oil and gas production process,the unreasonable parameter setting will increase the failure rate of the equipment and affect the output.Aiming at the coalbed methane production process in China,considering the characteristics of working condition parameters,this paper proposes a BP neural network based diagnostic method for electric submersible screw pump.The experiment shows that the method has high diagnostic accuracy and can realize electric submersible screw pump.Real-time,fast and effective diagnosis of working conditions.The geological characteristics of low permeability,low pressure and low saturation prevailing in China’s coalbed methane reservoirs.The development of a reasonable drainage production system in the production process can reduce the damage of the reservoir to a certain extent.It is the production well to maintain stable production and increase production capacity.An important means.In recent years,the electric submersible screw pump lifting process combined with electric submersible pump and screw pump has been promoted in the oil production industry,which greatly eliminates the limitations of traditional lifting equipment and meets the demand for lifting process of coalbed methane drainage.In order to ensure the safety,fine and efficient drainage production of coalbed methane wells,this paper first establishes a special database based on historical production data,and based on the nearest neighbor pattern matching method,establishes an optimization model of coalbed methane drainage production system;The gas production process and its application in coalbed methane production were analyzed,and the corresponding evaluation indexes were established.The preferred model of the coalbed methane drainage process model was established by using the membership function.Finally,the ground-driven screw pump failure was learned by reference.The type and characteristics of the electric submersible screw pump system are analyzed and summarized.The BP neural network is used to establish the model for the diagnosis of the electric submersible screw pump discharge fault condition,and the corresponding software function module is developed to realize the online.The function of monitoring and real-time condition diagnosis. |
