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dc.contributor.authorMaksimov, Danil
dc.contributor.authorPavlov, Alexey
dc.contributor.authorSangesland, Sigbjørn
dc.date.accessioned2021-01-13T08:33:59Z
dc.date.available2021-01-13T08:33:59Z
dc.date.created2021-01-12T15:18:28Z
dc.date.issued2020
dc.identifier.citationInternational Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings]. 2020, 11 1-19.en_US
dc.identifier.issn1523-651X
dc.identifier.urihttps://hdl.handle.net/11250/2722690
dc.description.abstractHeterogeneous nature and complex rock properties of carbonate reservoirs makes the drilling process challenging. One of these challenges is uncontrolled mud loss. Caves or a system of cavities could be a high-risk zone for drilling as the mud losses cannot always be controlled by conventional methods, such as mud weight (MW) / equivalent mud weight (ECD) optimization, or by increasing concentration of lost circulation material (LCM) in the drilling mud. Seismic-based detection of such karstification objects is inefficient due to relatively small size, various shapes and low contrast environment. In this paper we, based on drilling data from the Barents sea, analyzed possible patterns in real-time drilling data corresponding to drilling through karstification objects. These patterns can serve as real-time indicators of zones with higher risk of karsts and can be used as an online tool for decision support while drilling in karstified carbonates.en_US
dc.language.isoengen_US
dc.publisherASMEen_US
dc.titleDrilling in Karstified Carbonates: Early Risk Detection Techniqueen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-19en_US
dc.source.volume11en_US
dc.source.journalInternational Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings]en_US
dc.identifier.doihttps://doi.org/10.1115/OMAE2020-18263
dc.identifier.cristin1869979
dc.description.localcodeCopyright © 2020 ASMEen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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