순현가 기반의 목적함수를 이용한 CO2 자극공법 주입설계 최적화

초록

This numerical study was undertaken to investigate optimal design of CO2 stimulation considering oil and CO2 prices. For injection design optimization, objective function associated with net present value (NPV) was defined. CMOST, the optimization tool of Computer Modeling Group, is used to determine optimum cases. Design parameters such as injection volume and soaking time, which are known to affect the performance of CO2 stimulation, were optimized in terms of NPV through different scenarios of oil and CO2 prices. Results from the study indicated that optimum injection volume was declined at higher cost of CO2, especially in the second cycle. For higher CO2 price, it was better to maximize production of the first cycle for improving the efficiency of injection. As oil price increases, there were no changes of injection scheme in the first cycle. Soaking time had no clear tendency related with operating condition and affected production performance very slightly.

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