Research On Injection Allocation Optimization Of Multi Well Water Injection System Based On Multi-objective Particle Swarm Optimization Algorithm

The continued exploitation of oilfields will result in a continuous decrease in downhole crude oil inventory,and in the meanwhile,a lot of water injection will be increased,which will also enhance the utilization of electric energy in oil fields.Oilfield water injection system engineering is related to oilfield benefits,so the improvement of the optimization technology of oilfield water injection system allocation and operation can enable oilfield enterprises to develop better.The main research purpose of this paper is to seek to design an oilfield multi-well water injection system matching operation method that is compatible with the actual engineering conditions under different working conditions,so that the unit water injection consumption and total electricity consumption in the system are reduced.The specific content of this article is as follows.First,analyze the water injection equipment involved in each pipe section and each node of the multi-well water injection system,establish a simulation model between the working condition parameters of the multi-well water injection system,that is,the multi-well water injection system pipe network model,pass two algorithms prove the right of the model.the multi-well water injection system will be affected by objective factors such as pipeline corrosion under actual working conditions,which will cause the theoretical friction coefficient inside the pipeline to change to a certain extent,So that there is a certain difference between calculated value and actual results.Emulation pattern of pipe network is dependent on multi-well water injection system,a calibration model is established,and a particle swarm algorithm is put forword to solve the model,so as to obtain the corresponding multi-well water injection system data after system calibration,which provides data guarantee for subsequent injection optimization.Secondly,on the basis of the multi-well water injection system piping network model,The water injection optimization problem of the multi-well water injection system is studied,the proposed of the water pattern of the multi-well water injection system.According to the power consumption and total power consumption caused by the contradiction and correlation between the quantity and the restrictions rule in the objective function,A multi-objective particle swarm optimization algorithm is proposed and studied.Finally,the research and development of data acquisition equip,data collected in projects,and the data is introduced into the water injection system configuration optimization model,the multi-objective particle swarm algorithm is used to solve the model,and the final result reduces power consumption.Smaller and lower unit consumption make the water injection system more efficient.