In order to rapidly evaluate or select oil productivity development projects，statistical analysis method was applied to thoroughly analyze the productivity development projects of new blocks，SINOPEC in 2007-2015. The main control factors of key reservoir engineering parameters influencing the development plans design were obtained for eight types of reservoirs including common heavy oil reservoirs，thermal recovery heavy oil reservoirs，low-permeability reservoirs，ultralow permeability reservoirs，fault-block reservoirs，complex fault-block reservoirs，fractured-vuggy carbonate reservoirs，and offshore reservoirs. These factors include reservoir type，geological reserves，oil-bearing area，reservoir depth，permeability，and oil viscosity，etc. Statistic models of reservoir parameters in eight types of reservoirs and productivity development indexes of single well were proposed as well. Daily oil production capacity of 106 productivity development units was evaluated rapidly according to the new deployed development blocks in 2016-2017 with 8 reservoir models. The results show that the rapid evaluation model can be used to judge the selection of productivity. The application of the model indicates that the reasonable application range should be known before the application and reservoir parameters should be selected carefully during the application to keep away to produce large errors.