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dc.contributor.authorGehrmann, Romina
dc.contributor.authorRomdhane, Anouar
dc.contributor.authorPark, Joonsang
dc.contributor.authorEliasson, Peder
dc.date.accessioned2021-10-01T09:32:15Z
dc.date.available2021-10-01T09:32:15Z
dc.date.issued2021
dc.identifier.isbn978-82-536-1714-5
dc.identifier.issn2387-4295
dc.identifier.urihttps://hdl.handle.net/11250/2786933
dc.description.abstractIn this work, we evaluate the use of controlled-source electromagnetics (CSEM) for CO2 monitoring at Smeaheia, a possible candidate for future phases of the Norwegian full-scale CCS project. CSEM is sensitive to electrically resistive material replacing conductive pore water in the pore space, which enables to infer volumetric estimates of the injected CO2 in the formation. CSEM is often used in combination with high-resolution seismic reflection data due to the sensitivity of the two methods to complementary physical properties. Here, we present a technique to optimise the CSEM survey parameters for efficient 4D surveying. Realistic synthetic models prior to and after injection are derived from reservoir modelling and converted to electrical resistivities. Inversion tests are carried out in 2D for the baseline and monitor cases considering realistic data errors. We show that the resistivity changes due to CO2 injection can be monitored using CSEM. We discuss the optimal orientation of the receivers, frequency range and transmitter-receiver offset. We finally discuss a strategy for optimal survey design based on the sensitivity to the CO2 plume.en_US
dc.language.isoengen_US
dc.publisherSINTEF Academic Pressen_US
dc.relation.ispartofTCCS–11. CO2 Capture, Transport and Storage. Trondheim 22nd–23rd June 2021. Short Papers from the 11th International Trondheim CCS Conference
dc.relation.ispartofseriesSINTEF Proceedings;7
dc.rightsCC BY 4.0*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectCO2 Storageen_US
dc.subjectSmeaheiaen_US
dc.subjectCSEM Acquisitionen_US
dc.subjectDesignen_US
dc.titleCSEM for CO2 Storage – Feasibility Study at Smeaheia to Optimise Acquisitionen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Authors. Published by SINTEF Academic Press.en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.identifier.cristin1942094


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Except where otherwise noted, this item's license is described as CC BY 4.0