Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
dc.contributor.authorNa, Yoonsu-
dc.contributor.authorSong, Youngsoo-
dc.contributor.authorAmpomah, William-
dc.contributor.authorWang, Jihoon-
dc.date.accessioned2026-04-06T06:00:16Z-
dc.date.available2026-04-06T06:00:16Z-
dc.date.issued2024-12-
dc.identifier.issn2352-4847-
dc.identifier.issn2352-4847-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212004-
dc.description.abstractCO2-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.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier Ltd-
dc.titleApplication of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversion-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.egyr.2024.09.006-
dc.identifier.scopusid2-s2.0-85203513073-
dc.identifier.wosid001315011800001-
dc.identifier.bibliographicCitationEnergy Reports, v.12, pp 3196 - 3206-
dc.citation.titleEnergy Reports-
dc.citation.volume12-
dc.citation.startPage3196-
dc.citation.endPage3206-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusGas injection (Enhanced recovery)-
dc.subject.keywordPlusOil well flooding-
dc.subject.keywordAuthorCO2-EOR-
dc.subject.keywordAuthorMachine learning-
dc.subject.keywordAuthorMulti-optimization-
dc.subject.keywordAuthorSmart proxy model-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S2352484724005845?via%3Dihub-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 자원환경공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Wang, Jihoon photo

Wang, Jihoon
COLLEGE OF ENGINEERING (DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE