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2021 Vol.58, Issue 2 Preview Page

Research Paper

Optimization of Well Operations in a Carbonate Reservoir Using Stochastic Simplex Approximate Gradient

StoSAG를 이용한 탄산염암 저류층의 유정 운영 최적화

Byunggun Oh1
Youngjoo Kim2
Wonsuk Lee3
Youngho Jang4
Baehyun Min5
Hoonyoung Jeong6*
오 병건1
김 영주2
이 원석3
장 영호4
민 배현5
정 훈영6*
1Master Program, Department of Energy Systems Engineering, Seoul National University
2Integrated PhD Program, Department of Energy Systems Engineering, Seoul National University
3Principal Research Engineer, Petroleum & Marine Research Div., Korea Institute of Geoscience & Mineral Resources (KIGAM)
4Research Professor, Center for Climate/Environment Change Prediction Research, Ewha Womans University
5Associate Professor, Department of Climate and Energy Systems Engineering, Ewha Womans University
6Assistant Professor, Department of Energy Systems Engineering, Seoul National University
1서울대학교 에너지시스템공학부 석사과정
2서울대학교 에너지시스템공학부 석박통합과정
3한국지질자원연구원 책임연구원
4이화여자대학교 기후․환경변화예측연구센터 연구교수
5이화여자대학교 기후․에너지시스템공학과 부교수
6서울대학교 에너지시스템공학부 조교수
*Corresponding Author
April 2021. pp. 119-129
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Abstract

유가스전 개발에 있어 유정 운영 조건은 개발 경제성에 큰 영향을 미친다. 경사도 기반의 최적화 기법을 이용하여 최적 유정 운영 조건을 효율적으로 탐색할 수 있다. 그러나 저류층 불확실성이 높고 많은 유정이 존재한다면 유한차분법을 이용하여 경사도를 계산하는 데 막대한 계산량이 요구된다. 최적화 변수의 미소 변화를 추계학적으로 생성하여 경사도를 계산하는 방법 중 하나인 Stochastic Simplex Approximate Gradient(StoSAG)를 이용하면 불확실성이 높고 많은 수의 유정을 가진 유정 운영 최적화 문제를 풀 수 있다. 본 연구에서는 StoSAG를 이용하여 실제 탄산염암 저류층의 생산 및 주입 조건을 최적화하였다. 최적화된 운영 조건은 초기 운영 조건에 비해 순현재가치가 약 10% 증가하였다. 본 연구결과는 불확실성이 높고 유정 개수가 많은 저류층의 유정 운영 최적화를 효율적으로 수행하는 데에 활용할 수 있다.

키워드
최적화
유정 운영 조건
추계학적 경사도
Stochastic Simplex Approximate Gradient

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.

Keywords
Optimization
Well Operation Conditions
Stochastic Gradients
StoSAG
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Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 58
  • No :2
  • Pages :119-129
  • Received Date :2021. 01. 08
  • Revised Date :2021. 04. 01
  • Accepted Date : 2021. 04. 27
  • DOI :https://doi.org/10.32390/ksmer.2021.58.2.119
Journal Informaiton Agriculture and Life Sciences Research Institute Journal of the Korean Society of Mineral and Energy Resources Engineers
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