This paper presents the application of a semi-automatic history matching tool to real field cases. The process of history matching a reservoir model is a difficult and time-consuming step in the course of a reservoir engineering study. The gradient method has now been widely accepted as an efficient way of aiding the reservoir engineer during this process. The sensitivities of the dynamic observations with respect to the model parameters give some very valuable qualitative and quantitative information about the best history matching parameters. A history matching tool has been developed to make the most of the gradient information. Tests are carried out on two 3D 3-phase field cases in real industrial conditions. We show that the computing times are still a critical issue for the validity of the method. Results and methodology are presented and the practical benefits of such techniques for the reservoir engineer are assessed. P. 121
This paper presents the application of a semi-automatic history matching tool to real field cases. The process of history matching a reservoir model is a difficult and time-consuming step in the course of a reservoir engineering study. The gradient method has now been widely accepted as an efficient way of aiding the reservoir engineer during this process. The sensitivities of the dynamic observations with respect to the model parameters give some very valuable qualitative and quantitative information about the best history matching parameters.A history matching tool has been developed to make the most of the gradient information. Tests are carried out on two 3D 3-phase field cases in real industrial conditions. We show that the computing times are still a critical issue for the validity of the method. Results and methodology are presented and the practical benefits of such techniques for the reservoir engineer are assessed.
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