Journal of the Korean Institute of Gas (한국가스학회지)

The Korean Institute of GAS (한국가스학회)
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Production Data Analysis to Predict Production Performance of Horizontal Well in a Hydraulically Fractured CBM Reservoir

수압파쇄된 CBM 저류층에서 수평정의 생산 거동예측을 위한 생산자료 분석

  • Kim, Young-Min (Dept. of Energy and Resources Engineering, Chonnam National University) ;
  • Park, Jin-Young (Dept. of Energy and Resources Engineering, Chonnam National University) ;
  • Han, Jeong-Min (Gas Research Institute, Korea Gas Corporation) ;
  • Lee, Jeong-Hwan (Dept. of Energy and Resources Engineering, Chonnam National University)
  • 김영민 (전남대학교 에너지자원공학과) ;
  • 박진영 (전남대학교 에너지자원공학과) ;
  • 한정민 (한국가스공사 가스기술연구원) ;
  • 이정환 (전남대학교 에너지자원공학과)
  • Received : 2016.02.11
  • Accepted : 2016.05.17
  • Published : 2016.06.30
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Abstract

Production data from hydraulically fractured well in coalbed methane (CBM) reservoirs was analyzed using decl ine curve analysis (DCA), flow regime analysis, and flowing material balance to forecast the production performance and to determine estimated ultimate recovery (EUR) and timing for applying the DCA. To generate synthetic production data, reservoir models were built based on the CBM propertie of the Appalachian Basin, USA. Production data analysis shows that the transient flow (TF) occurs for 6~16 years and then the boundary dominated flow (BDF) was reached. In the TF period, it is impossible to forecast the production performance due to the significant errors between predicted data and synthetic data. The prediction can be conducted using the production data of more than a year after reached BDF with EUR error of approximately 5%.

수압파쇄된 석탄층 메탄가스(coalbed methaen, CBM) 수평정의 생산거동을 예측하고 궁극가채매장량(estimated ultimate recovery, EUR)을 산출하기 위해 감퇴곡선분석, 유동영역분석, 유동물질평형분석을 활용하여 CBM 생산자료를 분석하였다. 가상의 생산자료를 발생시키기 위해 미국의 아팔라치안 분지(Appalachian basin)의 CBM 물성자료를 기반으로 저류층 모델을 구축하였다. 생산자료 분석 결과, 약 6~16년간 천이유동이 발생하였으며, 그 후에 경계지배 유동이 발생하였다. 천이유동 구간의 자료를 활용하여 생산자료 분석을 시행할 경우 예측된 생산자료와 가상의 생산자료 간의 큰 오차가 발생하였으며, 생산거동 예측이 불가함을 확인하였다. 경계지배유동의 생산자료 분석 결과, 1년 이상의 자료를 가지고 있을 때 EUR 오차율 5%이내에서 생산거동 예측이 가능한 것으로 확인되었다.

Keywords

References

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