The oil recovery of a field development unit under the current technical and economic conditions is an essential indicator for evaluating development effects and analyzing the potential for enhancing oil recovery. It is also an essential basis for scientifically formulating medium-term and long-term plans. The dynamic and static heterogeneity of oil reservoirs significantly impacts oil recovery. The optimization of differentiated injection and production in single wells can achieve balanced injection and production in heterogeneous oil reservoirs and enhance oil recovery. Currently， the influence of dynamic and static heterogeneity is not fully considered in the existing oil recovery prediction methods， and oil recovery is difficult to accurately predict under the different injection and production conditions in single wells. In this paper， uncompartmentalized water-flooded oil reservoirs were taken as an example； the main controlling factors influencing the oil recovery of water-flooded oil reservoirs were identified by the numerical simulation technology and mathematical statistics analysis methods. The water flooding for efficiency improvement technology was proposed based on the optimization of differentiated injection and production in single wells. The orthogonal experimental design method was adopted， and the main dynamic and static influencing factors， economic policy limits， etc.， were integrated to design multiple groups of highly operable schemes for simulation. With the help of multi-factor nonlinear fitting means， the reservoir heterogeneity was fully considered to adapt to the best technical policies. Under economic condition constraints， a rapid prediction model for the economic oil recovery of water flooding oil reservoirs was constructed based on the optimization of differentiated injection and production. Field practice applications showed that this method could achieve rapid and accurate prediction of the economic oil recovery for the differentiated injection and production development of water flooding heterogeneous oil reservoirs.