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The selection of the number and location of well is a vital part of oilfield development. An optimal well placement scheme is affected by geological conditions, reservoir driving methods, fluid characteristics, oilfield equipment specifications, and various economic parameters. It is an optimization problem with multiple decision variables. Traditional mathematical optimization methods are dealing with this type. When it comes to problems, it is difficult to find a suitable objective function to satisfy the optimization conditions. As a product of quantum computing and intelligent algorithms, quantum algorithm has excellent performance and good generalization ability, and it has better performance than traditional methods in dealing with complex optimization problems of objective function. Therefore, this paper uses MATLAB to establish a reservoir numerical simulation model, taking the number of wells and well position as variables, and optimizing the well position with the improved net QGA with the net present value of the oilfield as the objective function. Compared with the traditional well-drilling method, the proposed method has better economic benefits, and at the same time, it has got rid of the dependence of traditional well-placed methods on experience and has good portability.