Please use this identifier to cite or link to this item: https://doi.org/10.1016/B978-0-444-59507-2.50125-6
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dc.titleA Comparison Study of Adjoint-Based Gradient Search Technique and Mathematical Programming for Optimal Well-Placement
dc.contributor.authorToh, R.Y.
dc.contributor.authorTavallali, M.S.
dc.contributor.authorLeow, W.X.
dc.contributor.authorKarimi, I.A.
dc.date.accessioned2014-06-16T09:25:05Z
dc.date.available2014-06-16T09:25:05Z
dc.date.issued2012
dc.identifier.citationToh, R.Y.,Tavallali, M.S.,Leow, W.X.,Karimi, I.A. (2012). A Comparison Study of Adjoint-Based Gradient Search Technique and Mathematical Programming for Optimal Well-Placement. Computer Aided Chemical Engineering 31 : 665-669. ScholarBank@NUS Repository. <a href="https://doi.org/10.1016/B978-0-444-59507-2.50125-6" target="_blank">https://doi.org/10.1016/B978-0-444-59507-2.50125-6</a>
dc.identifier.issn15707946
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53996
dc.description.abstractOptimal well placement in petroleum fields has an immense techno- economical importance. It is vital to choose the correct mathematical tool to address this important problem. Therefore, in this study we compare the adjoint-based gradient search method with a mathematical programming approach in terms of the efficiency and solution quality when addressing well placement problems. © 2012 Elsevier B.V.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/B978-0-444-59507-2.50125-6
dc.sourceScopus
dc.subjectAdjoint-Based Gradient Search Technique
dc.subjectMathematical Programming
dc.subjectOptimal Well Placement
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/B978-0-444-59507-2.50125-6
dc.description.sourcetitleComputer Aided Chemical Engineering
dc.description.volume31
dc.description.page665-669
dc.identifier.isiutNOT_IN_WOS
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