Multi-objective optimization of WAG injection using machine learning and data-driven Proxy models

Alassane Oumar Bocoum and Mohammad Reza Rasaei

Applied Energy, 2023, vol. 349, issue C, No S0306261923009571

Abstract: In complex optimization processes such as CO2-water alternating gas (CO2-WAG), several iterative steps are needed before finding an optimal or sub-optimal set of solutions. This leads to time-consuming operations, especially when the simulation is run with a compositional simulator. Proxy models have been used to tackle this issue as they can replicate efficiently and accurately reservoir simulators in specific studies. However, the construction of such a proxy model, its basic database in particular, differs according to the designer and the objective function(s).

Keywords: CO2-water alternating gas; ANN; NSGA-II; Multi-objective optimization; Cumulative oil recovery; Net Present Value (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.apenergy.2023.121593

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