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dc.contributor.authorHvidevold, Hilde Kristine
dc.contributor.authorAlendal, Guttorm
dc.contributor.authorJohannessen, Truls
dc.contributor.authorAli, Alfatih Omer Mohammed Ahmed
dc.contributor.authorMannseth, Trond
dc.contributor.authorAvlesen, Helge
dc.date.accessioned2016-01-20T09:50:17Z
dc.date.available2016-01-20T09:50:17Z
dc.date.issued2015-04-04
dc.PublishedInternational Journal of Greenhouse Gas Control 2015, 37:274-279eng
dc.identifier.issn1878-0148en_US
dc.identifier.urihttps://hdl.handle.net/1956/10990
dc.description.abstractMonitoring of the marine environment for indications of a leak, or precursors of a leak, will be an intrinsic part of any subsea CO2 storage projects. A real challenge will be quantification of the probability of a given monitoring program to detect a leak and to design the program accordingly. The task complicates by the number of pathways to the surface, difficulties to estimate probabilities of leaks and fluxes, and predicting the fluctuating footprint of a leak. The objective is to present a procedure for optimizing the layout of a fixed array of chemical sensors on the seafloor, using the probability of detecting a leak as metric. A synthetic map from the North Sea is used as a basis for probable leakage points, while the spatial footprint is based on results from a General Circulation Model. Compared to an equally spaced array the probability of detecting a leak can be nearly doubled by an optimal placement of the available sensors. It is not necessarily best to place the first in the location of the highest probable leakage point, one sensor can monitor several potential leakage points. The need for a thorough baseline in order to reduce the detection threshold is shown.en_US
dc.language.isoengeng
dc.publisherElsevieren_US
dc.relation.ispartof<a href="http://hdl.handle.net/1956/11211" target="_blank">Quantifying uncertainties when monitoring marine environments in connection with geological storage of CO2</a>en_US
dc.rightsAttribution CC BY 4.0eng
dc.subjectGeological storageeng
dc.subjectLeak detection probabilityeng
dc.subjectMarine environmenteng
dc.subjectCCSeng
dc.subjectMonitoringeng
dc.titleLayout of CCS monitoring infrastructure with highest probability of detecting a footprint of a CO2 leak in a varying marine environmenten_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2015-12-21T20:09:38Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2015 The Authorsen_US
dc.identifier.doihttps://doi.org/10.1016/j.ijggc.2015.03.013
dc.identifier.cristin1251728
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Mathematics: 410::Applied mathematics: 413
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Zoology and botany: 480::Ecology: 488
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US


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