StoSAG를 이용한 탄산염암 저류층의 유정 운영 최적화
Optimization of Well Operations in a Carbonate Reservoir Using Stochastic Simplex Approximate Gradient
- 주제(키워드) Optimization , Well Operation Conditions , Stochastic Gradients , StoSAG , 최적화 , 유정 운영 조건 , 추계학적 경사도 , Stochastic Simplex Approximate Gradient
- 주제(기타) 자원공학
- 설명문(URI) https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002712010
- 관리정보기술 faculty
- 등재 KCI등재
- 발행기관 한국자원공학회
- 발행년도 2021
- URI http://www.dcollection.net/handler/ewha/000000180180
- 본문언어 한국어
초록/요약
Well operating conditions can significantly affect the economic feasibility of developing an oil and gas field. The optimal operating conditions can be calculated using gradient-based optimization algorithms. However, using the finite difference method for this calculation is significantly costly under reservoir uncertainty and complex operating conditions. Thus, stochastic simplex approximate gradient (StoSAG), which is a calculation of the gradient by perturbing decision variables randomly, is an efficient application for optimization under uncertainty . In this study, StoSAG was applied to optimize the operating conditions in a real carbonate reservoir. Compared to the initial operating conditions, the optimized model shows a 10% increase in net present value (NPV ). The results can be utilized to determine cost-efficient operating conditions for complex reservoirs.
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