|Table of Contents|

Citation:
 Ning Qiu,Chunwu Pan,Yongheng Zhang,et al.Sensitivity of Marine Controllable Source Electromagnetic Soundings for Identifying Plume Migration in Offshore CO2 Storage[J].Journal of Marine Science and Application,2024,(3):656-673.[doi:10.1007/s11804-024-00601-4]
Click and Copy

Sensitivity of Marine Controllable Source Electromagnetic Soundings for Identifying Plume Migration in Offshore CO2 Storage

Info

Title:
Sensitivity of Marine Controllable Source Electromagnetic Soundings for Identifying Plume Migration in Offshore CO2 Storage
Author(s):
Ning Qiu123 Chunwu Pan13 Yongheng Zhang13 Bin Liu13 Zhen Sun12 Pengchun Li12
Affilations:
Author(s):
Ning Qiu123 Chunwu Pan13 Yongheng Zhang13 Bin Liu13 Zhen Sun12 Pengchun Li12
1. Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Sanya Institute of Ocean Eco-Environmental Engineering, Key Laboratory of Tropical Oceanography, Chinese Academy of Sciences, Guangzhou, 511458, China;
2. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China;
3. University of Chinese Academy of Sciences, Beijing, 100049, China
Keywords:
Offshore carbon dioxide storage|Geophysics|Resistivity inversion|Monitoring|Plume migration|Marine controllable source electromagnetic method
分类号:
-
DOI:
10.1007/s11804-024-00601-4
Abstract:
Offshore carbon dioxide (CO2) storage is an effective method for reducing greenhouse gas emissions. However, when using traditional seismic wave methods to monitor the migration of sequestration CO2 plumes, the characteristics of wave velocity changes tend to become insignificant beyond a certain limit. In contrast, the controllable source electromagnetic method (CSEM) remains highly sensitive to resistivity changes. By simulating different CO2 plume migration conditions, we established the relevant models and calculated the corresponding electric field response characteristic curves, allowing us to analyze the CSEM’s ability to monitor CO2 plumes. We considered potential scenarios for the migration and diffusion of offshore CO2 storage, including various burial depths, vertical extension diffusion, lateral extension diffusion, multiple combinations of lateral intervals, and electric field components. We also obtained differences in resistivity inversion imaging obtained by CSEM to evaluate its feasibility in monitoring and to analyze all the electric field (Ex, Ey, and Ez) response characteristics. CSEM has great potential in monitoring CO2 plume migration in offshore saltwater reservoirs due to its high sensitivity and accuracy. Furthermore, changes in electromagnetic field response reflect the transport status of CO2 plumes, providing an important basis for monitoring and evaluating CO2 transport behavior during storage processes.

References:

Archie GE (1942) The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the AIME 146(1): 54-62. https://doi.org/10.2118/942054-G
Ayani M, Grana D, Liu M (2020) Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring. International Journal of Greenhouse Gas Control 100(3): 103098. DOI: 10.1016/j.ijggc.2020.103098
Bhuyian AH, Landr? M, Johansen SE (2012) 3D CSEM modeling and time-lapse sensitivity analysis for subsurface CO2 storage. Geophysics 77(5): E343-E355. https://doi.org/10.1190/geo2011-0452.1
Czernichowski-Lauriol I, Rochelle CA, Brosse E, Springer N, Bateman K, Kervevan C, Pearce JM, Sanjuan B, Serra H (2003) Reactivity of injected CO2 with the Usira sand reservoir at Sleipner, Northern North Sea. Proceedings of the 6th International Conference on Greenhouse Gas Control Technologies, Kyoto, 1617-1620. https://doi.org/10.1016/B978-008044276-1/50259-2
Du Z, Nord J (2012) Feasibility of using joint seismic and CSEM for monitoring CO2 storage. 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, Copenhagen, Denmark. European Association of Geoscientists & Engineers, cp-293-00572. https://doi.org/10.3997/2214-4609.20148567
Eide K, Carter S (2020) Introduction to CSEM. First Break 38: 63-68. DOI: 10.3997/1365-2397fb2020081
Fawad M, Mondol NH (2021) Monitoring geological storage of CO2: A new approach. Scientific Reports 11:5942. https://doi.org/10.1038/s41598-021-85346-8
Flett M, Brantjes J, Gurton R, McKenna J, Tankersley T, Trupp M (2009) Subsurface development of CO2 disposal for the Gorgon Project. Greenhouse Gas Control Technologies 9: 3031-3038. https://doi.org/10.1016/J.EGYPRO.2009.02.081
Guo J, Wen D, Zhang S, Xu T, Li X, Diao Y, Jia X (2015) Potential evaluation and demonstration project of CO2 geological storage in China. Geological Survey of China 4: 36-46
Harp D, Onishi T, Chu S, Chen B, Pawar R (2019) Development of quantitative metrics of plume migration at geologic CO2 storage sites. Greenhouse Gases: Science and Technology 9: 687-702. https://doi.org/10.1002/ghg.1903
Harrington RF (1961) Time-harmonic electromagnetic fields. McGraw-Hill Book Company, New York
Hoffman N, Alessio L (2017) Probabilistic approach to CO2 plume mapping for prospective storage sites: The CarbonNet experience. Energy Procedia 114(1): 4444-4476. DOI: 10.1016/j.egypro.2017.03.1604
Kang S, Seol SJ, Byun J (2012) A feasibility study of CO2 sequestration monitoring using the mCSEM method at a deep brine aquifer in a shallow sea. Geophysics 77(2): E117-E126. https://doi.org/10.1190/geo2011-0089.1
Kim YH, Park YG (2023) A review of CO2 plume dispersion modeling for application to offshore carbon capture and storage. Journal of Marine Science and Engineering 12(1): 38. https://doi.org/10.3390/jmse12010038
Li H, Peng S, Xu M, Luo C, Gao Y (2013) CO2 storage mechanism in saline aquifers. Science and Technology Guide 31: 72-79
Li Q, Li YZ, Xu XY, Li XC, Liu GZ, Yu H, Tan YS (2023) Current status and recommendations of offshore CO2 geological storage monitoring. Geological Journal of China Universities 29: 1-12. DOI: 10.16108/j.issn1006-7493.2023008
Li Q, Liu GZ, Li XC, Chen ZA (2022) Intergenerational evolution and presupposition of CCUS technology from a multidimensional perspective. Advanced Engineering Scciences 54(1): 157-166. DOI: 10.15961/j.jsuese.202100765
Ma Z, Chen B, Pawar RJ (2023) Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS3.0. Scientific Reports 13: 6527. https://doi.org/10.1038/s41598-023-33512-5
Park J, Sauvin G, V?ge M (2017) 2.5D inversion and joint interpretation of CSEM data at Sleipner CO2 storage. Energy Procedia 114: 3989-3996. https://doi.org/10.1016/j.egypro.2017.03.1531
Puzyrev V (2019) Deep learning electromagnetic inversion with convolutional neural networks. Geophysical Journal International 218: 817-832. https://doi.org/10.1093/gji/ggz204
Tai CT (1994) Dyadic green functions in electromagnetic theory. 2nd ed., Institute of Electrical & Electronics Engineers (IEEE) Press, New York
Tveit S, Mannseth T, Park J, Sauvin G, Agersborg R (2020) Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection. Computational Geosciences 24: 1201-1220. https://doi.org/10.1007/s10596-020-09934-9
Vilamajó E, Queralt P, Ledo J, Marcuello A (2013) Feasibility of monitoring the Hontomín (Burgos, Spain) CO2 storage site using a deep EM source. Surveys in Geophysics 34: 441-461. https://doi.org/10.1007/s10712-013-9238-y
Wen G, Benson SM (2019) CO2 plume migration and dissolution in layered reservoirs. International Journal of Greenhouse Gas Control 87: 66-79. https://doi.org/10.1016/j.ijggc.2019.05.012
Yilo NK, Weitemeyer K, Minshull TA, Attias E, Marin-Moreno H, Falcon-Suarez IH, Gehrmann R, Bull J (2023) Marine CSEM synthetic study to assess the detection of CO2 escape and saturation changes within a submarine chimney connected to a CO2 storage site. Geophysical Journal International 236(1): 183-206. https://doi.org/10.1093/gji/ggad366
Zendehboudi S, Khan A, Carlisle S, Leonenko Y (2011) Ex-situ dissolution of CO2: A new engineering methodology based on mass-transfer perspective for enhancement of CO2 sequestration. Energy & Fuels 25(7): 3323-3333. DOI: 10.1021/ef200199r
Zhang L, Nowak W, Oladyshkin S, Wang Y, Cai J (2023) Opportunities and challenges in CO2 geologic utilization and storage. Advances in Geo-Energy Research 8(3): 141-145. DOI: 10.46690/ager.2023.06.01

Memo

Memo:
Received date:2024-1-15;Accepted date:2024-4-29。
Foundation item:Supported by Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (2019BT02H594), and Sanya Technology Innovation Special Project (2022KJCX08).
Corresponding author:Ning Qiu,E-mail:ningqiu@scsio.ac.cn
Last Update: 2024-09-29