메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국자원공학회 Geosystem Engineering Geosystem Engineering Vol.18 No.1
발행연도
2015.1
수록면
61 - 72 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Resource plays have recently received increasing attention. This is because of rising oil prices caused by the growing global demand for petroleum resources and improved production technologies for productivity. Conducting reservoir evaluation in target areas is a priority for oil and gas play development. Petroleum production forecasting is important for well performance evaluations, which are generally routinely performed using decline curve analysis (DCA). DCA relies on the use of empirical curve fitting or the Arps decline model. However, the period and distribution of production data, the differences in the initial production rates of well stimulation technologies, etc., that are derived by estimation have inaccurate results in resource plays. Therefore, many kinds of DCA are proposed to reflect these characteristics of production data. In this study, we applied a variety of deterministic DCA methods using production data of different feature in resource play and investigated the impact caused by the production data. The results show that production trends and estimated ultimate recovery are predicted for each field up to 360 months. In addition, this study can be used as basis process in choosing suitable DCA methods in resource plays.

목차

등록된 정보가 없습니다.

참고문헌 (20)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0