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Application of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversion
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Na, Yoonsu | - |
| dc.contributor.author | Song, Youngsoo | - |
| dc.contributor.author | Ampomah, William | - |
| dc.contributor.author | Wang, Jihoon | - |
| dc.date.accessioned | 2026-04-06T06:00:16Z | - |
| dc.date.available | 2026-04-06T06:00:16Z | - |
| dc.date.issued | 2024-12 | - |
| dc.identifier.issn | 2352-4847 | - |
| dc.identifier.issn | 2352-4847 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212004 | - |
| dc.description.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. | - |
| dc.format.extent | 11 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier Ltd | - |
| dc.title | Application of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversion | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.egyr.2024.09.006 | - |
| dc.identifier.scopusid | 2-s2.0-85203513073 | - |
| dc.identifier.wosid | 001315011800001 | - |
| dc.identifier.bibliographicCitation | Energy Reports, v.12, pp 3196 - 3206 | - |
| dc.citation.title | Energy Reports | - |
| dc.citation.volume | 12 | - |
| dc.citation.startPage | 3196 | - |
| dc.citation.endPage | 3206 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Energy & Fuels | - |
| dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
| dc.subject.keywordPlus | Gas injection (Enhanced recovery) | - |
| dc.subject.keywordPlus | Oil well flooding | - |
| dc.subject.keywordAuthor | CO2-EOR | - |
| dc.subject.keywordAuthor | Machine learning | - |
| dc.subject.keywordAuthor | Multi-optimization | - |
| dc.subject.keywordAuthor | Smart proxy model | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2352484724005845?via%3Dihub | - |
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