Abstract
Multiple simulation runs are required to optimise and quantify uncertainty and sensitivity analysis to determine and rank the impact of reservoir and operating parameters on the incremental oil recovery (∆RF) under miscible CO2-WAG flooding. The central composite design (CCD) was employed to create a statistical proxy model for ∆RF as a function of seven reservoir and operating parameters. Statistical analysis was employed to check the model adequacy. The importance and effect of variables that result to higher predicted ∆RF were investigated. As an analogue of the Nahr Umr reservoir, the reservoir understudy, the proxy model can be roughly applied to predict the ∆RF during the miscible CO2-WAG injection at depending on uncertainty. The reliability of the proxy model has been demonstrated based on many statistical tools.
Original language | English |
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Pages (from-to) | 263-280 |
Number of pages | 18 |
Journal | International Journal of Oil, Gas and Coal Technology |
Volume | 26 |
Issue number | 3 |
DOIs | |
Publication status | Published - 22 Feb 2021 |
Keywords
- Heterogeneous clastic reservoir
- Miscible CO-WAG injection
- Proxy modelling
- Response surface modelling
ASJC Scopus subject areas
- General Energy