한국가스학회지 (Journal of the Korean Institute of Gas)

  • 제22권2호
  • /
  • Pages.34-45
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  • 2018
  • /
  • 1226-8402(pISSN)
  • /
  • 2713-6922(eISSN)
한국가스학회 (The Korean Institute of GAS)
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CBM 저류층의 생산성 예측을 위한 표준곡선 모델의 적합성 평가 연구

A Study on the Conformity Assessment of Type Curve Models to Predict Production Performance in Coalbed Methane Reservoirs

  • 김창균 (전남대학교 에너지자원공학과) ;
  • 이정환 (전남대학교 에너지자원공학과)
  • Kim, Changkyun (Dept. of Energy and Resources Engineering, Chonnam National University) ;
  • Lee, Jeonghwan (Dept. of Energy and Resources Engineering, Chonnam National University)
  • 투고 : 2018.01.10
  • 심사 : 2018.03.15
  • 발행 : 2018.04.30
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초록

석탄층 메탄가스(CBM) 저류층은 탄화과정 중에 탄리(cleat)가 물로 채워지게 되며, 탄리 내 물의 거동이 CBM 생산거동에 영향을 미칠 수 있다. 따라서 정확한 생산 자료 분석을 수행하기 위해서는 탄리 내 물 포화도가 CBM 생산에 미치는 영향을 고려해야 한다. 이에 본 연구에서는 서로 다른 물 포화도 조건을 갖는 CBM 저류층에 표준곡선(type curve) 분석을 수행하고 조건별 적합도를 평가하였다. CBM 생산 자료를 취득하기 위해 CMG사(社)의 GEM을 이용하여 물 완전포화, 중간포화, 불포화 상태의 저류층 모델을 구축하였으며, Fetkovich, Palacio-Blasingame(P-B), Agarwal-Gardner (A-G) 표준곡선 분석을 수행하였다. 그 결과, 불포화 CBM의 경우 Fetkovich 표준곡선이 후기 시간 영역에서 일치(matching)가 잘 이루어지지 않는 반면 A-G 표준곡선 모델에 우수한 일치를 나타내었다. 또한 중간 포화 CBM 생산 자료는 후기 시간 영역에서 표준곡선 모델 모두와 잘 일치되는 것을 확인하였다. 완전 포화 조건의 경우 최대 생산량(qpeak)이후 적은 양의 생산 자료만을 이용해서도 P-B와 A-G 표준곡선에 정확하게 일치되었으며, 이를 기반으로 특정 물 포화도 조건에서 각 표준곡선이 갖는 장 단점이 분석되었다. 따라서 CBM 개발 시 물 포화도 조건에 따라 적합한 표준곡선을 선택함으로써 CBM 저류층의 정확한 생산 자료 분석이 가능할 것으로 판단된다.

The cleat system in coalbed methane (CBM) reservoirs is generally occupied by water which liberated during the coalification process, and behavior of water have influence on CBM production performance. Therefore, it is essential to investigate the effect of the water saturation to operate the degasification process and predict the CBM production performance properly. In this study, type curve analyses were performed on CBM reservoirs under various water saturation to improve the prediction of production performance. A CBM reservoir models with fully-, modestly-, and undersaturated reservoir were built to get production data using GEM by CMG Ltd., and the data were matched with Fetkovich, Palacio-Blasingame(P-B), and Agarwal-Gardner (A-G) type curve. The results showed that undersaturated reservoir was successfully matched by A-G type curve, while the Fetkovich type curve was inappropriate for matching in the late time. The modestly saturated model could be almost corresponded with all the type curve methods at late production period. For the fully saturated model, after peak production had been reached, both P-B and A-G methods showed a proper match to the reservoir production data without long-term production period. Based on the results, merit and demerit of each type curve under specific water saturation were analyzed and listed. Therefore, it is believed that the production data analysis with proper type curve model considering water saturation can be performed to predict accurate production performance.

키워드

참고문헌

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