다목적 최적화 알고리듬을 이용한 SAGD 공법 운영조건 최적화
Optimization of SAGD Process Using Multi-Objective Optimization Algorithm
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초록
이 논문은 다목적 최적화 알고리듬을 이용하여 오일샌드 저류층에서 생산성이 높으면서도 최적의 에너지효 율을 갖는 SAGD(Steam Assisted Gravity Drainage) 공법의 운영조건을 선정하는 기법을 제안한다. 기존의 SAGD 공 법 최적화 연구들은 경제성인자가 고정된 단목적 최적화에 집중하였다. 이 연구에서는 회수율 최대화와 누적증기오 일비 최소화 관점에서 비지배관계에 놓이는 최적 생산운영 시나리오를 선정하였다. 이를 통하여 특정 목적함수에 편 향된 하나의 최종해만을 도출하는 기존 방법의 한계를 개선하였다. 제안한 방법으로 선정된 최적운영 시나리오들은 기존 방법과 달리 유가상황 및 비용 변화에 따라 추가적인 최적화 작업 없이 광구운영 의사결정에 유용하게 활용할 수 있다.
Abstract
This paper proposes multi-objective optimization of the Steam Assisted Gravity Drainage (SAGD) process for improving the energy efficiency and recovery factor of oil sand reservoirs. Previous studies conducted on optimizing the SAGD process have focused on single-objective optimization with fixed economic factors. In this study, multiple trade-off operating scenarios were selected by applying a multi-objective optimization algorithm that aims at maximizing the recovery factor and minimizing the cumulative steam-oil ratio for efficiently addressing volatile market conditions. Thus, the proposed method can overcome the limitations of conventional optimization methods that not only yield a single solution based on a particular objective function but also are hard to adapt to fluctuating oil prices. Furthermore, the proposed method can provide optimum trade-off operating scenarios, and hence can aid in planning operating (i.e., marketing) strategies according to the variation in oil prices and operating costs, without the need for an additional optimization process.
참고문헌 (16)
- Al-Gosayir, M., "Design of Solvent-Assisted SAGD Processes in Heterogeneous Reservoirs Using Hybrid Optimization Techniques", J. Can. Petrol. Technol., 51(6), pp.437~448 (2012)[DOI]
- "Canadian Association of Petroleum Producers"[URL]
- Chung, S.H., "On the Study of SAGP Optimization to Minimize Invasion Effect of Water from Top Water Zone", pp.2010
- Deb, K., "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II", IEEE Trans. Evol. Comput., 6(2), pp.182~197 (2002)[DOI]
- Energy Resources Conservation Board, "ERCB staff review and analysis: Total E&P Canada Ltd., Surface Steam Release of May 18, 2006", pp.9~ (2010)
- Gates, I.D., "Steam-Injection Strategy and Energetics of Steam-Assisted Gravity Drainage", SPE Reserv. Eval. Eng., 10(1), pp.19~34 (2007)
- "Government of Alberta Energy"[URL]
- Kam, D., "An Optimal Operation Strategy of Injection Pressures in Solvent-Aided Thermal Recovery for Viscous Oil in Sedimentary Reservoirs", Petrol. Sci. Technol., 31(22), pp.2378~2387 (2013)[DOI]
- Marini, F., "Particle swarm optimization (PSO). A tutorial", Chemom. Intell. Lab. Syst., 149, pp.153~165 (2015)[DOI]
- Min, B., "Development of a Robust Multi-Objective History Matching for Reliable Well-Based Production forecasts", Energy Explor. Exploit., 34, pp.795~809 (2016)[DOI]
- Min, B., "Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent-Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach", Energies, 966, pp.1~21 (2017)
- National Energy Board, "Canada's Oil Sands-Opportunities and Challenges to 2015: an Update", pp.71~ (2006)
- "Oil Sands Magazine" (2018)[URL]
- Park, H.-Y., "Handling Conflicting Multiple Objectives Using Pareto-Based Evolutionary Algorithm During History Matching of Reservoir Performance", J. Petrol. Sci. Eng., 125, pp.48~66 (2015)[DOI]
- Yang, C., "Economic Optimization and Uncertainty Assessment of Commercial SAGD Operations", J. Can. Pet. Technol., 48(9), pp.33~40 (2009)[DOI]
- Yang, C., "Robust Optimization of SAGD Operations under Geological Uncertainties", SPE Reservoir Simulation Symposium, pp.700~715 (2011), SPE The Woodlands