@article{scholars15847, year = {2021}, title = {Proxy modelling for rapid optimisation of miscible CO2-WAG injection in heterogeneous clastic reservoirs: A case study from Southern Iraqi oil fields}, doi = {10.1504/IJOGCT.2021.113134}, pages = {263--280}, volume = {26}, journal = {International Journal of Oil, Gas and Coal Technology}, publisher = {Inderscience Publishers}, number = {3}, note = {cited By 2}, issn = {17533309}, 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 ({\^a}??RF) under miscible CO2-WAG flooding. The central composite design (CCD) was employed to create a statistical proxy model for {\^a}??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 {\^a}??RF were investigated. As an analogue of the Nahr Umr reservoir, the reservoir understudy, the proxy model can be roughly applied to predict the {\^a}??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 {\^A}{\copyright} 2021 Inderscience Enterprises Ltd.}, author = {Jaber, A. K. and Awang, M. B. and Stephen, K. D.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101681051&doi=10.1504\%2fIJOGCT.2021.113134&partnerID=40&md5=b6a1a275366abe08fa3058163df50b16}, keywords = {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} }