Abstract: Due to the complicated injector-producer correlation and frequent variation of the displacement field, the mature oilfield after water flooding is found with drastic variation of the underground oil/water distribution pattern and requires refined recovery. To promote the intelligentization of the petroleum industry, the research and application of data-driven injection-production optimization of complex oil reservoirs were reviewed, which highlighted big data-driven models and artificial intelligence algorithms for injector-producer connectivity analysis and production optimization. This review indicates that precise modelling of complex oil reservoirs and rapid solving of relevant optimization problems are key to intelligentization of oilfield production and recovery and the crossing and fusion of data, mechanisms, and artificial intelligence algorithms is the development orientation of future research on smart oilfield recovery.