%0 Journal Article
%@ 17533309
%A Jaber, A.K.
%A Awang, M.B.
%A Stephen, K.D.
%D 2021
%F scholars:15847
%I Inderscience Publishers
%J International Journal of Oil, Gas and Coal Technology
%K Carbon dioxide; Oil well flooding; Reservoirs (water); Sensitivity analysis; Statistical mechanics; Uncertainty analysis, Central composite designs; Clastic reservoirs; Model adequacy; Oil recoveries; Operating parameters; Optimisations; Statistical tools; Uncertainty and sensitivity analysis, Oil fields
%N 3
%P 263-280
%R 10.1504/IJOGCT.2021.113134
%T Proxy modelling for rapid optimisation of miscible CO2-WAG injection in heterogeneous clastic reservoirs: A case study from Southern Iraqi oil fields
%U https://khub.utp.edu.my/scholars/15847/
%V 26
%X 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. Copyright © 2021 Inderscience Enterprises Ltd.
%Z cited By 2