Study On Remaining Oil Distribution By Waterflooding Process And Optimization Of Parameters In Daluhu Oilfield

Because of the low productivity in low permeability reservoirs of the middle-later developed period,the difficulty of production grows continuously.Due to the different explotation status in different parts of the reservoir,it is easy to form stagnant zone for remaining oil.Injection and production parameter optimization is the key of effective development.Therefore,it is of importance to recognize and predict the distribution of remaining oil and extract the remaining oil.According to the above problems,this paper analyses the current situation and development trend,and then analyses the influencing factor of remaining oil.Used to the numerical reservoir simulation,the distribution of remaining oil is clear.According to the problem of injection and production parameter optimization,this paper improves the traditional genetic algorithm,and simulated annealing is embedded.The hybrid optimization algorithms is named SAGA.Based on SAGA hybrid optimization algorithm,this paper analysis the sensitivity of injection and production parameters.In order to extract remaining oil in the pressure balance area,unstable cyclic waterflooding is chosen.The results show that,SAGA hybrid optimization algorithm can optimize injection and production parameters effectively.In the scheme design,the development results of asynchronous unstable cyclic waterflooding is better than the results of synchronous asymmetry cyclic waterflooding.Asynchronous unstable cyclic waterflooding scheme 15 is the best scheme.