Accelerated optimization of CO2-miscible water-alternating-gas injection in carbonate reservoirs using production data-based parameterization

Abstract Enhancing oil recovery in reservoirs with light and high gas content relies on optimizing the miscible water alternating (WAG) injection profile. However, this can be costly time-consuming due to computationally demanding compositional simulation models numerous other well control variables. This study introduces WAG eq , a novel approach that expedites convergence of optimization algorithm for carbonate reservoirs. The leverages production data create flexible solutions maximize net present value (NPV) field, while providing practical implementation individual profiles each injector. utilizes an priority index rank wells determine which should inject or at time interval. is built using parametric equation considers factors such as producer injector relationship, cut ( W CUT ), gas–oil ratio (GOR), cumulative production, induce desirable effects To evaluate ’s effectiveness, two approaches were compared: benchmark solution named bm injected fluid optimized over time, traditional baseline strategy fixed 6-month cycles. procedures applied synthetic case (SEC1_2022) characteristics Brazilian pre-salt field karstic formations CO 2 content. outperformed procedure, improving NPV by 6.7% 511 USD million. Moreover, required fewer simulations (less than 350) (up 2000), delivering slightly higher NPV. terms also found essential producing profile regular patterns injector, resulting more solution. In conclusion, significantly reduces computational requirements creating consistent across injectors, are crucial consider when planning strategy.