Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 변중무 | - |
dc.date.accessioned | 2018-03-07T00:01:08Z | - |
dc.date.available | 2018-03-07T00:01:08Z | - |
dc.date.issued | 2012-11 | - |
dc.identifier.citation | ANNUAL INTERNATIONAL MEETING- SOCIETY OF EXPLORATION GEOPHYSICISTS, Vol.82^N^D No.2 [2012], 768-772 | en_US |
dc.identifier.issn | 1834-7533 | - |
dc.identifier.issn | 0812-3985 | - |
dc.identifier.uri | http://www.publish.csiro.au/eg/EG14096 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/42994 | - |
dc.description.abstract | Carbon 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, althoug | en_US |
dc.language.iso | en | en_US |
dc.publisher | CSIRO PUBLISHING, UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC 3168, AUSTRALIA | en_US |
dc.subject | a priori information | en_US |
dc.subject | carbon dioxide | en_US |
dc.subject | inversion | en_US |
dc.subject | marine CSEM | en_US |
dc.subject | monitoring | en_US |
dc.subject | MARINE CSEM DATA | en_US |
dc.subject | ELECTRICAL ANISOTROPY | en_US |
dc.subject | SENSITIVITY | en_US |
dc.subject | ALGORITHM | en_US |
dc.title | mCSEM inversion for CO2 sequestration monitoring at a deep brine aquifer in a shallow sea | en_US |
dc.type | Article | en_US |
dc.relation.volume | 82 | - |
dc.identifier.doi | 10.1071/EG14096 | - |
dc.relation.page | - | - |
dc.contributor.googleauthor | Kang, Seogi | - |
dc.contributor.googleauthor | Noh, Kyubo | - |
dc.contributor.googleauthor | Seol, Soon Jee | - |
dc.contributor.googleauthor | Byun, Joongmoo | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | jbyun | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.