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dc.contributor.author설순지-
dc.date.accessioned2017-05-02T05:13:40Z-
dc.date.available2017-05-02T05:13:40Z-
dc.date.issued2015-08-
dc.identifier.citationEXPLORATION GEOPHYSICS, v. 46, NO 3, Page. 236-252en_US
dc.identifier.issn0812-3985-
dc.identifier.issn1834-7533-
dc.identifier.urihttp://library.seg.org/doi/abs/10.1071/EG14096-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/27120-
dc.description.abstractCarbon dioxide injection monitoring in offshore environments is a promising future application of the marine controlled-source electromagnetic (mCSEM) method. To investigate whether the mCSEM method can be used to quantitatively monitor variations in the distribution of the injected CO2, we developed a mCSEM inversion scheme and conducted numerical analyses. Furthermore, to demonstrate the monitoring capability of the mCSEM method in challenging environments, we used a deep brine aquifer model in shallow sea as an injection target. Them CSEM responses of the injected CO2 in the deep brine aquifer were severely decayed and heavily masked by the air wave due to the proximity of the free space. Therefore, the accurate computation of small mCSEM responses due to the injected CO2 and the proper incorporation into the inversion process are critically important for the mCSEM method to be successful. Additionally, in monitoring situations, some useful a priori information is usually available (e.g. well logs and seismic sections), and the proper implementation of this to our inversion framework is crucial to ensure reliable estimation of the distribution of the injected CO2 plume. In this study, we developed an efficient 2.5D mCSEM inversion algorithm based on an accurate forward modelling algorithm and the judicious incorporation of a priori information into our inversion scheme. The inversion scheme was tested with simplified and realistic CO2 injection models and successfully recovered the resistivity distributions of the injected CO2, although it still required the presence of a considerable amount of the injected CO2. Based on these inversion experiments, we demonstrated that the mCSEM method is capable of quantitatively monitoring variations in the distribution of injected CO2 in offshore environments.en_US
dc.description.sponsorshipThis work was supported by the Human Resources Development program (No. 20134010200520) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Trade, Industry & Energy. One of the authors, Kyubo Noh, was partially supported by NRF (National Research Foundation of Korea) grant funded by Korea government (NRF-2012H1A2A1009568-Global Ph.D. Fellowship Program).en_US
dc.language.isoenen_US
dc.publisherCSIRO PUBLISHINGen_US
dc.subjecta priori informationen_US
dc.subjectcarbon dioxideen_US
dc.subjectinversionen_US
dc.subjectmarine CSEMen_US
dc.subjectmonitoringen_US
dc.titlemCSEM inversion for CO2 sequestration monitoring at a deep brine aquifer in a shallow seaen_US
dc.typeArticleen_US
dc.relation.no3-
dc.relation.volume46-
dc.identifier.doi10.1071/EG14096-
dc.relation.page236-252-
dc.relation.journalEXPLORATION GEOPHYSICS-
dc.contributor.googleauthorKang, Seogi-
dc.contributor.googleauthorNoh, Kyubo-
dc.contributor.googleauthorSeol, Soon Jee-
dc.contributor.googleauthorByun, Joongmoo-
dc.relation.code2015012298-
dc.sector.campusS-
dc.sector.daehakRESEARCH INSTITUTE[S]-
dc.sector.departmentPETROLEUM AND MINERAL RESEARCH INSTITUTE-
dc.identifier.pidssjdoolly-
dc.identifier.researcherIDP-7094-2015-
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RESEARCH INSTITUTE[S](부설연구소) > ETC
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