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dc.contributor.author민배현*
dc.date.accessioned2018-11-21T16:30:44Z-
dc.date.available2018-11-21T16:30:44Z-
dc.date.issued2018*
dc.identifier.issn1420-0597*
dc.identifier.otherOAK-22115*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/246846-
dc.description.abstractWe present a framework for the coupling of fluid-filled fracture propagation and a genetic inverse algorithm for optimizing hydraulic fracturing scenarios in porous media. Fracture propagations are described by employing a phase field approach, which treats fracture surfaces as diffusive zones rather than of interfaces. Performance of the coupled approach is provided with applications to numerical experiments related to maximizing production or reservoir history matching for emphasizing the capability of the framework. © 2018, Springer International Publishing AG, part of Springer Nature.*
dc.description.sponsorshipU.S. Department of Energy*
dc.languageEnglish*
dc.publisherSpringer International Publishing*
dc.subjectGenetic algorithm*
dc.subjectHistory matching*
dc.subjectHydraulic fracturing*
dc.subjectPhase field*
dc.subjectProduction maximization*
dc.titleOptimal design of hydraulic fracturing in porous media using the phase field fracture model coupled with genetic algorithm*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume22*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage833*
dc.relation.lastpage849*
dc.relation.journaltitleComputational Geosciences*
dc.identifier.doi10.1007/s10596-018-9728-6*
dc.identifier.wosidWOS:000432791900013*
dc.identifier.scopusid2-s2.0-85041922170*
dc.author.googleLee S.*
dc.author.googleMin B.*
dc.author.googleWheeler M.F.*
dc.contributor.scopusid민배현(45961384800)*
dc.date.modifydate20240322114211*
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일반대학원 > 대기과학공학과 > Journal papers
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