Large reservoirs, such as the fields in the Brazilian Pre-salt, require the generation of large mesh models increasing the simulation time so that the production strategy selection process can be very time consuming. Therefore, typical optimization procedures used in this process may need to be simplified. A possible way to reduce the computational time is to use a new hybrid process. It consists of an assisted methodology that uses indicators based on the reservoir engineering knowledge increasing the accuracy of the alterations to be performed, speeding up the process. In this work, the alterations are made based on economic and production indicators of each individual well: net present value, oil, water and gas cumulative productions and oil flow rates. The indicators are classified as low, medium or high according to the mean reservoir value. Their combination ranks the well in one of four different regions allowing the identification of wells with high priority for alteration. Neighbor wells in the same area of influence are not modified in the same iteration. The indicators analysis points the causes of low well performance enabling the user to make alterations aiming to solve them. Different suggestions of possible procedures to be adopted to improve the performance of the well and consequently the field are provided according to each well location in a region. The methodology was applied to a strategy previously optimized for UNISIM-I-D case based on the Namorado Field, Campos Basin, Brazil. Results show that the refinement step is very useful to increase NPV and to give reliability to the selected strategies. The methodology has shown to be an excellent way to apply accurate alterations in production strategies. Besides, it is a very efficient tool to measure how well optimized a strategy is and if still there is potential for improvements.

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