A review of marine controlled-source electromagnetic data preprocessing technology
Source abstract
Abstract
The marine controlled-source electromagnetic (MCSEM) method is an important geophysical technique for seabed resource exploration. During the MCSEM exploration process, distortion and noise will inevitably appear in the original data collected by the receiver due to various interferences and geological factors. The data preprocessing technology, therefore, is essential to improve the data quality for further inversion explanation of the seabed’s geological structure. Through tracing and analyzing the relevant literature published over two decades on MCSEM data preprocessing technology, including data correction and noise suppression methods, this Review first introduces the basic principle of MCSEM exploration and then analyzes the advances, limitations, and challenges of its current application. Ultimately, this Review discusses the prospects of this technology, providing a reference to relevant industries and researchers.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geophysical and Geoelectrical Methods · Underwater Acoustics Research · Geophysical Methods and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Instrumentation and Electrical Engineering, Jilin University 1 , Changchun, China
Wuxi Institute of Technology 2 , Wuxi, China
Funding
National Key Research and Development Program of China
References (59)
Show source-provided references
1. H. B. Chen, “Three-dimensional forward modeling and inversion of MCSEM data in anisotropic medium,” Ph.D. dissertation (Jilin University, 2020).
2. Marine controlled-source electromagnetic methods—Introduction10.1190/1.2557289 ↗
3. An introduction to marine controlled-source electromagnetic methods for hydrocarbon exploration10.1190/1.2432483 ↗
4. CSEM performance in light of well results10.1190/1.3284051 ↗
5. First results from a marine controlled-source electromagnetic survey to detect gas hydrates offshore Oregon10.1029/2005gl024896 ↗
6. J. P. Behrens, “The detection of electrical anisotropy in 35 Ma Pacific lithosphere: Results from a marine controlled-source electromagnetic survey and implications for hydration of the upper mantle,” Ph.D. dissertation (University of California, San Diego, 2005).
7. Marine controlled source electromagnetics: Principles, methodologies, future commercial applications10.1007/s10712-005-1830-3 ↗
8. Ten years of marine CSEM for hydrocarbon exploration10.1190/1.3483451 ↗
9. A seafloor electromagnetic receiver for marine magnetotellurics and marine controlled-source electromagnetic sounding10.1007/s11770-015-0494-0 ↗
10. Opportunities, challenges and development directions of electromagnetic exploration today10.3969/j.issn.1001-1749.2019.04.01 ↗
11. Sea Bed Logging (SBL), a new method for remote and direct identification of hydrocarbon filled layers in deepwater areas10.3997/1365-2397.20.3.25008 ↗
12. Subsurface hydrocarbons detected by electromagnetic sounding10.3997/1365-2397.2005005 ↗
13. Marine EM survey technology and its new advances10.3969/j.issn.1009-5071.2018.19.260 ↗
14. Marine electromagnetic methods—A new tool for offshore exploration10.1190/1.2193225 ↗
15. Data preprocessing of marine controlled-source electromagnetic data10.16441/j.cnki.hdxb.2014.10.015 ↗
16. Effects of uncertainties in the orientation and position of both the transmitter and receivers on marine CSEM responses in layered vertical anisotropic medium10.6038/cjg20171229 ↗
17. C. X. Yu, “Study on marine controlled source electromagnetic signal processing,” M.Sc. thesis, China University of Geosciences, Beijing, 2010.
18. Attitude effect for marine CSEM system10.6038/j.issn.0001-5733.2012.08.027 ↗
19. Determining the orientation of marine CSEM receivers using orthogonal Procrustes rotation analysis10.1190/1.3378765 ↗
20. Marine CSEM of the Scarborough gas field, Part 1: Experimental design and data uncertainty10.1190/geo2011-0380.1 ↗
21. K. M. Bhatt, “Motion induced noise in marine electromagnetic data,” Ph.D. dissertation (Braunschweig Technical University, 2011).
22. A study on natural gas hydrates and their forming model using marine controlled-source electromagnetic survey in the Qiongdongnan Basin10.6038/cjg2018L0660 ↗
23. Marine CSEM data processing techniques10.1190/1.2370356 ↗
24. A. M. Pethick, “Multidimensional computation and visualisation for marine controlled source electromagnetic methods,” Ph.D. dissertation (Curtin University, 2013).
25. Decomposition of electromagnetic fields into upgoing and downgoing components10.1190/1.2245468 ↗
26. Seismic and electromagnetic controlled-source interferometry in dissipative media10.1111/j.1365-2478.2007.00686.x ↗
27. Normalized amplitude ratios for frequency-domain CSEM in very shallow water10.3997/1365-2397.2008016 ↗
28. A modeling study of low-frequency CSEM in shallow water
29. Foundations of the method of EM field separation into upgoing and downgoing parts and its application to MCSEM data10.1016/S0950-1401(10)04024-3 ↗
30. Analysis of air wave interaction mechanism and effect of sea water depth on electromagnetic prospecting10.3969/j.issn.1673-5005.2011.06.008 ↗
31. Three methods for mitigating airwaves in shallow water marine controlled-source electromagnetic data10.1190/1.3536641 ↗
32. Research on marine controlled-source electromagnetic method airwave10.13278/j.cnki.jjuese.2012.05.001 ↗
33. The applicated comparation of three signal analytical methods for ocean CSEM signature10.4028/www.scientific.net/amr.798-799.561 ↗
34. The marine controlled-source electromagnetic method in shallow water10.1190/geo2012-0112.1 ↗
35. Quantifying the effect of the air/water interface in marine active source EM10.1016/j.jappgeo.2015.03.028 ↗
36. Far-zone fields of electric and magnetic dipoles in a stratified laterally isotropic earth and mitigating the airwave in marine CSEM10.1093/gji/ggv119 ↗
37. Optimal synthetic aperture method for marine controlled-source EM surveys10.1109/lgrs.2014.2345416 ↗
38. Study on the performances of optimization methods of particle swarm and eigenstate analysis in CSEM data synthetic aperture processing10.1190/segam2018-2996610.1 ↗
39. Estimating direct waves with respect to receiver offset, antenna current and frequency in MCSEM
40. Research on evaluation method of MT noise denoising effect in marine controlled-source electromagnetic exploration10.6038/pg2019CC0156 ↗
41. Seawater motion-induced electromagnetic noise reduction in marine magnetotelluric data using current meters10.1186/s40623-019-1129-0 ↗
42. Study on improving MCSEM signal-to-noise ratio10.3969/j.issn.1004-2903.2009.03.032 ↗
43. Broad-band waveforms and robust processing for marine CSEM surveys10.1111/j.1365-246x.2010.04887.x ↗
44. Controlled-source electromagnetic and seismic delineation of subseafloor fluid flow structures in a gas hydrate province, offshore Norway10.1093/gji/ggw188 ↗
45. 3-D CSEM data inversion algorithm based on simultaneously active multiple transmitters concept10.1093/gji/ggx062 ↗
46. S. Tan, “EMD algorithm research on marine electromagnetic signal de-noising,” M.Sc. thesis, Chengdu University of Technology, 2014.
47. A new method to extract useful harmonics from CSEM data10.1190/segam2019-3214657.1 ↗
48. Denoising controlled-source electromagnetic data using least-squares inversion10.1190/geo2016-0659.1 ↗
49. A wavelet correction method for the seawater turbulence noise in marine controlled-source electectromagnetic data10.3969/j.issn.1000-1441.2016.05.004 ↗
50. New wavelet-based denoising method for marine controlled source electromagnetic data10.19650/j.cnki.cjsi.J1804199 ↗
51. Noise reduction and error analysis for a Towed EM system10.1190/segam2012-0439.1 ↗
52. Marine controlled source electromagnetic method used for the gas hydrate investigation in the offshore area of SW Taiwan10.1016/j.jseaes.2013.12.001 ↗
53. N. Liu, “Preprocessing and research of denoising methods for marine controlled source electromagnetic data,” Ph.D. dissertation (Jilin University, 2015).
54. Noise reduction method of marine spontaneous electric field data using independent component analysis10.3124/segj.70.42 ↗
55. Optimized 3D synthetic aperture for controlled-source electromagnetics10.1190/geo2014-0348.1 ↗
56. Enhancing the detectability of a high-resistivity target by using a synthetic aperture source for 3D marine CSEM modelling of a rugged seafloor10.1088/1742-2132/13/5/832 ↗
57. High resistivity reservoir identification based on synthetic-sources marine controlled source electromagnetic data10.13810/j.cnki.issn.1000-7210.2018.03.020 ↗
58. Robust synthetic aperture imaging of marine controlled-source electromagnetic data10.1109/tgrs.2020.2966727 ↗
59. Marine controlled-source electromagnetic method data de-noising based on compressive sensing10.1016/j.jappgeo.2020.104011 ↗