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Application of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversionopen access

Authors
Na, YoonsuSong, YoungsooAmpomah, WilliamWang, Jihoon
Issue Date
Dec-2024
Publisher
Elsevier Ltd
Keywords
CO2-EOR; Machine learning; Multi-optimization; Smart proxy model
Citation
Energy Reports, v.12, pp 3196 - 3206
Pages
11
Indexed
SCIE
SCOPUS
Journal Title
Energy Reports
Volume
12
Start Page
3196
End Page
3206
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212004
DOI
10.1016/j.egyr.2024.09.006
ISSN
2352-4847
2352-4847
Abstract
CO2-Enhanced Oil Recovery (CO2-EOR) is an effective development strategy and an economically viable CO2 storage method for a mature oil field. In this study, a smart proxy model (SPM) was constructed to establish the optimal development strategies in Farnsworth Unit (FWU) considering CO2 storage and oil production with the production-injection well conversion. An SPM was constructed with the results of 16 reservoir simulations and was validated with an R2 values of 96.3 % and 97.5 % for the CO2 storage and oil production, respectively. The obtained Pareto front indicates a range of the optimized CO2 storage and oil production. In addition, the maximum CO2 storage case shows 260 % and 61.1 % of the CO2 storage and oil production of the base case, respectively. When the maximum oil production is targeted, the CO2 storage and oil production are respectively 66.5 % and 111.3 % of the base case. It was concluded that the SPM is effectively applicable for multi-objective optimization with fewer simulation runs and shorter time. In addition, the well conversion is a viable method to improve both the CO2 storage and oil production in the FWU during CO2-EOR process.
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Wang, Jihoon
COLLEGE OF ENGINEERING (DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING)
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