Proxy modelling for rapid optimisation of miscible CO2-WAG injection in heterogeneous clastic reservoirs: A case study from Southern Iraqi oil fields

Ahmed Khalil Jaber, Mariyamni B. Awang, Karl D. Stephen

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)263-280
Number of pages18
JournalInternational Journal of Oil, Gas and Coal Technology
Volume26
Issue number3
DOIs
Publication statusPublished - 22 Feb 2021

Keywords

  • Heterogeneous clastic reservoir
  • Miscible CO-WAG injection
  • Proxy modelling
  • Response surface modelling

ASJC Scopus subject areas

  • Energy(all)

Fingerprint

Dive into the research topics of 'Proxy modelling for rapid optimisation of miscible CO<sub>2</sub>-WAG injection in heterogeneous clastic reservoirs: A case study from Southern Iraqi oil fields'. Together they form a unique fingerprint.

Cite this