인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In this study, SAA (Simulated annealing algorithm) is used to optimize the well layout direction of tertiary infilling wells by water flooding. The specific research includes: (1) constructing a mathematical model for optimizing the well layout direction of tertiary infilling wells by water flooding; Design the search strategy of SAA; Simulation experiments are carried out to verify the effectiveness of the algorithm; Analyze the experimental results and put forward optimization suggestions. The simulation results show that the oil recovery after optimization is about 10% higher than that before optimization. This result directly proves the effectiveness of SAA in the optimization of well layout direction of tertiary infill wells by water flooding. At the same time, the convergence of the algorithm is good in the optimization process, which shows that the SAA is efficient in solving this problem. And the algorithm in this paper has good stability and consistency in many experiments. This result verifies the effectiveness and adaptability of the algorithm in this paper, and provides strong support for the practical application in oilfield development. Through this study, it is expected to provide new ideas and methods for optimizing the well layout direction of tertiary infilling wells by water flooding, and promote the innovation and development of oilfield development technology.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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