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dc.contributor.authorNourani, Meysam
dc.contributor.authorSchovsbo, Niels Hemmingsen
dc.contributor.authorJahanbani Ghahfarokhi, Ashkan
dc.contributor.authorNielsen, Carsten Møller
dc.contributor.authorSigalas, Lykourgos
dc.contributor.authorMeyer, Aurelien Gabriel
dc.contributor.authorOlsen, Dan
dc.contributor.authorStemmerik, Lars
dc.date.accessioned2020-09-29T11:11:07Z
dc.date.available2020-09-29T11:11:07Z
dc.date.created2020-09-14T14:25:29Z
dc.date.issued2020
dc.identifier.issn2523-3963
dc.identifier.urihttps://hdl.handle.net/11250/2680252
dc.description.abstractWettability is usually measured in special core analyses of limited plug samples according to typically costly and time-consuming procedures. For comparative purposes, wettability is considered an index. The two most frequently used wettability indices are the Amott–Harvey wettability index and the U.S. Bureau of Mines (USBM) index. The Amott–Harvey wettability index is linked to imbibition characteristics and the USBM index is associated with the area under capillary pressure curves. To provide a fast analytical method, a mathematical model for predicting the wettability of chalk is presented. The model is calibrated using experimental wettability data and subsequently applied to two wells in Danish chalk oil fields in the North Sea and to outcrop chalk samples. The model supplements traditional labor-intensive laboratory measurements and predicts water wettability variations with depth by modeling both depth and porosity dependencies; in addition, it provides estimates of the effects of the aging time and displacement temperature of chalk wettability measurements in the laboratory.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA predictive model for the wettability of chalken_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalSN Applied Sciencesen_US
dc.identifier.doi10.1007/s42452-020-03438-y
dc.identifier.cristin1829763
dc.description.localcode© The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/),en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal