A productivity prediction method for CO2 flooding well and its application

Well productivity prediction is the key point and important reference to oilfield development and artificial lift design. In order to establish a method and model of productivity prediction for the CO2 flooding well, considering the influence of formation pressure and drainable radius, permeability and relative permeability curves, crude oil components, CO2 concentration and skin factor over well productivity, this paper have designed the orthogonal test and a number of reservoir numerical simulation calculations. Then based on the method of Vogel to establish well productivity equation of dissolved gas-drive reservoir, the first model of well productivity prediction for CO2 flooding was established through translating the numerical simulation results into integrated dimensionless. Example applications have launched in 2 pilot wells in Jilin oilfield and the results showed that the average relative error of 11 data points is 4.27% while the maximal relative error is 9.07%. This indicated that the prediction precision of this method and model proposed in the paper is relatively high. So it has certain application value in preparing oilfield development plan and well lifting design of CO2 flooding.