순현가 기반의 목적함수를 이용한 CO2 자극공법 주입설계 최적화
Optimization of Injection Design in CO2 Stimulation by NPV-Based Objective Function
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초록
오일 및 CO2 가격을 반영한 CO2 자극공법의 최적 설계안을 검토하기 위하여 본 수치 연구를 수행하였다. 주입설계 최적화를 위하여 순현가와 연계된 목적함수를 정의하고 Computer Modeling Group의 최적화 도구인 CMOST를 이용하였다. 복수의 CO2-오일 가격 시나리오를 설정하고 순현재가치를 기준으로 자극공법의 생산성에 영향을 주는 주입량과 soaking 시간 등의 설계 인자들을 최적화하였다. 본 연구 결과에 따르면 CO2 가격이 상승하면서 주입량이 감소하였으며 이는 두 번째 단계에서 더 크게 나타났다. CO2 가격이 높을수록 주입의 효율성을 고려하여 첫 번째 단계에서 가능한 많은 양을 생산하는 것이 적절하였다. 오일 가격이 증가하면서 첫 번째 단계의 주입설계는 거의 변하지 않는다. soaking 시간의 경우 경향성이 뚜렷하지 않았으며 생산성에 미치는 영향도 매우 작았다.
Abstract
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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