Study On Optimization Of Drive Parameters Of Low Permeability Reservoir Based On PSO

At present,most of the low permeability oilfields in China have entered the middle and late stages of development,with oil production getting lower and lower,and the development is more difficult.The profile control and water plugging and related supporting technologies play an important role in controlling water and oil production in high water cut oilfields.It can effectively plug the dominant channel of deep water flow in the reservoir,and change the streamline field with fixed trend and improve the development effect of reservoir.In the development and adjustment,setting parameters rationally is the key of effective exploitation.In view of the above problems,based on the research status at home and abroad,the paper fully identifies the geology and development characteristics of the oilfield,and analyses the main factors that affect the effect of Nitrogen foam flooding to optimize the parameter scheme.In this paper,the traditional Particle Swarm Optimization algorithm(PSO)is improved to solve the problem that it is easy to fall into the local optimum.Based on PSO algorithm,the sensitivity of injection and production parameters such as injection volume,injection pressure and liquid production volume are analyzed.Based on the analysis of feasibility of nitrogen foam flooding in the reservoir,fuzzy evaluation and numerical simulation are used to identify the channel crossing of the reservoir to select suitable well group.Nitrogen foam flooding simulation is carried out to analyze the influence of flooding process parameters and formation fluid factors on the development effect.In order to obtain the best nitrogen foam program,we use numerical simulation and PSO optimization respectively at the same time.The results show that the PSO optimization algorithm can optimize the parameters of the Nitrogen foam flooding quickly and effectively.In the scheme design,the development of nitrogen foam flooding scheme is better than the conventional flooding scheme,which has the effect of controlling water and increasing oil production.The optimal scheme obtained by Particle Swarm Optimization is better than the one obtained by numerical simulation,with 8.7×104m3 more oil produced compared with the conventional water-flooding program.