科研之友
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摘要
Steam-assisted gravity drainage (SAGD) has been used successfully for the last 25 years in Canada. SAGD is a thermal recovery process that was invented to extract highly viscous bitumen from deep Canadian oil-sands reservoirs. To date, the original idea of SAGD has not changed greatly since the first pilot test in 1987. However, field operation and reservoir management have been influenced by recent developments in technology. Advanced drilling techniques, automated production control, and real-time data monitoring are gradually transforming the SAGD process into smart fields. As such, improving current history-matching techniques would support fast decision-making requirements significantly in closed-loop reservoir management.
This paper recommends analytical solutions for simulations with medium-to-high levels of uncertainty. This shows how an analytical simulator can be improved effectively to mimic the essential features of a SAGD field for fast history matching. Combined with the analytical model recently proposed by the authors, this paper investigates the methodology to apply uncomplicated analytical/mathematical solutions to practical cases. The two underground-test-facility (UTF) pilot-test case studies covered in this paper provide a better understanding of the proposed methodology. History-matching results show that the current analytical models are suitable to act as proxy models for optimization purposes.
- 出版日期2013-5
