Sensitivity analysis of marine controlled source electromagnetic data in CO2 monitoring of the Johansen Formation
- Mohit Ayani (University of Wyoming) | Dario Grana (University of Wyoming) | Lucy MacGregor (Cognitive Geology) | Subhashis Mallick (University of Wyoming)
- Document ID
- Society of Exploration Geophysicists
- SEG International Exposition and Annual Meeting, 15-20 September, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Exploration Geophysicists
- Marine, Amplitude, CSEM, Resistivity
- 1 in the last 30 days
- 1 since 2007
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The Johansen formation sandstone located in the North Sea is a potential reservoir candidate for CO2 storage. We present a sensitivity analysis for the marine controlled-source electromagnetic method, by generating a realistic scenario of CO2 injection and migration within the Johansen formation. The resistivity data were derived by combining multi-phase fluid flow simulation with Archie's law. First, we present a 1D forward model to generate time lapse controlled-source electromagnetic responses for different frequency-offset ranges to identify the frequencies and electromagnetic field components which produce the largest percentage differences. Then we propose the 2.5D forward modeling to further assess the sensitivity of the time lapse data. The results from both analyses show that changes in the resistivity can be detected by the EM fields.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 1:50 PM
Location: Poster Station 6
Presentation Type: Poster
|File Size||1 MB||Number of Pages||5|
Andreis,D., andL. M.MacGregor,2011,Using CSEM to monitor production from a complex 3D gas reservoir- a synthetic case study:The Leading Edge,30,1070–1079, doi:10.1190/1.3640531.
Eigestad,G. T.,H. K.Dahle,B.Hellevang,W. T.Johansen,F.Riis, andE.Øian,2009,Geologic modeling and simulation of CO2 injection in the Johansen formation:Computational Geosciences,13,435–450, doi:10.1007/s10596-009-9153-y.
Gasperikova,E., andG. M.Hoversten,2006,A feasibility study of nonseismic geophysical methods for monitoring geologic CO2 sequestration:The Leading Edge,25,1282–1288, doi:10.1190/1.2360621.
Kang,S.,S. J.Seol, andJ.Byun,2012,A feasibility study of CO2 sequestration monitoring using the CSEM method at a deep brine aquifer in a shallow sea:Geophysics,77,no.2,E117–E126, doi:10.1190/geo2011-0089.1.
Key,K.,2009,1D inversion of multicomponent, multifrequency marine CSEM data: Methodology and synthetic studies for resolving thin resistive layers:Geophysics,74,no.2,F9–F20, doi:10.1190/1.3058434.
Key,K.,2016,MARE2DEM: A 2-D inversion code for controlled-source electromagnetic and magnetotelluric data:Geophysical Journal International,207,571–588, doi:10.1093/gji/ggw290.
Lien,M., andT.Mannseth,2008,Sensitivity study of marine CSEM data for reservoir production monitoring:Geophysics,73,no.4,F151–F163, doi:10.1190/1.2938512.
MacGregor,L. M.,J.Andreis Tomlinson, andN.Barker,2006,Controlled-source electromagnetic imaging on the nuggets-1 reservoir:The Leading Edge,25,984–992, doi:10.1190/1.2335163.
MacGregor,L. M., andM. C.Sinha,2000,Use of marine controlled source electromagnetic sounding for sub-basalt exploration:Geophysical Prospecting,48,1091–1106, doi:10.1046/j.1365-2478.2000.00227.x.
Orange,A.,K.Key, andS.Constable,2009,The feasibility of reservoir monitoring using time-lapse marine CSEM:Geophysics,74,no.2,F21–F29, doi:10.1190/1.3059600.
Shahin,A.,K.Key,P.Stoffa, andR.Tatham,2012,Petro-electric modeling for CSEM reservoir characterization and monitoring:Geophysics,77,no.1,E9–E20, doi:10.1190/geo2010-0329.1.