一种全隐式伴随梯度油藏生产优化方法

he objective pursued by developers of reservoir is to exploit demonstrated reserves more efficiently and economically. One possible approach to tackle this problem is to produce oil in a dynamic real-time optimal state on the basis of existing production conditions, which is one of the cores of smart field. A new optimal control method is proposed in this research. The optimal objective is to maximize net present value of production and mathematical model is solved to determine real-time control settings and obtain optimal production schedule. Conventional solving method of maximum principle requires two solutions of time series. In this paper, the adjoint equation can be directly obtained from the matrix of full implicit simulator, which combine efficiently the process of reservoir simulation with solving gradient by maximum principle. This method saves computing time and enhance efficiency of solving model. Based on the above theoretical study, applied examples of reservoir are analyzed. The results show optimal production scheme are coincident with the demand of actual field and it will provide a strong theoretical basis and technical support for smart field system.