2021-04-14
Marchenko Inversion of GPR Data for a 1D Dissipative Medium
By
Progress In Electromagnetics Research M, Vol. 102, 65-79, 2021
Abstract
Radar data collected on two sides of a horizontally dissipative layered medium are required to invert for the medium parameters. The two-sided reflection and transmission responses are reduced to two single-sided reflection responses. One is the measured dissipative medium response, and the other is the reflection response of the corresponding effectual medium, which has negative dissipation. Marchenko-type equations are solved using these two reflection responses. The obtained focusing functions in the dissipative and effectual media are used to invert for the permittivity and the permeability under the assumption of weak dissipation in reflection. Once these parameters are known, the travel times are used to estimate the layer thicknesses. Finally, the focusing functions are used to estimate the conductivity in each layer. The method does not require any model information and runs as a fully automated process. A numerical example shows that the method works well for a horizontally dissipative layered medium. Statistical analysis for several noise models shows that the method is robust at least up to 40 dB additive and multiplicative white noise.
Citation
Bingkun Yang, and Evert C. Slob, "Marchenko Inversion of GPR Data for a 1D Dissipative Medium," PIER M, Vol. 102, 65-79, 2021.
doi:10.2528/PIERM21020901
References

1. Amundsen, L., L. T. Ikelle, and L. E. Berg, "Multidimensional signature deconvolution and free-surface multiple elimination of marine multicomponent ocean-bottom seismic data," Geophysics, Vol. 66, No. 5, 1594-1604, 2001.
doi:10.1190/1.1486770        Google Scholar

2. Benedetto, A., L. Pajewski, and eds., Civil Engineering Applications of Ground Penetrating Radar, Springer Transactions in Civil and Environmental Engineering, 2015.

3. Dukalski, M. and K. de Vos, "Marchenko inversion in a strong scattering regime in the presence of a free surface," Geophys. J Int., Vol. 212, No. 2, 760-776, 2018.        Google Scholar

4. Ernst, J. R., A. G. Green, H. Maurer, and K. Holliger, "Application of a new 2D time-domain full-waveform inversion scheme to crosshole radar data," Geophysics, Vol. 72, No. 5, J53-J64, 2007.
doi:10.1190/1.2761848        Google Scholar

5. Irving J. D., R. J. Knight, "Removal of wavelet dispersion from ground-penetrating radar data," Geophysics, Vol. 68, 960-970, 2003.
doi:10.1190/1.1581068        Google Scholar

6. Kabanikhin, S., "Definitions and examples of inverse and ill-posed problems," J. Inverse Ill Posed Probl., Vol. 16, No. 4, 317-357, 2008.
doi:10.1515/JIIP.2008.019        Google Scholar

7. Paige, C. C. and M. A. Saunders, "LSQR: An algorithm for sparse linear equations and sparse least squares," ACM T. Math. Software, Vol. 8, No. 1, 43-71, 1982.
doi:10.1145/355984.355989        Google Scholar

8. Ravasi, M., "Rayleigh-Marchenko redatuming for target-oriented, true-amplitude imaging," Geophysics, Vol. 82, No. 6, S439-S452, 2017.
doi:10.1190/geo2017-0262.1        Google Scholar

9. Slob, E., "Interferometry by deconvolution of multicomponent multioffset GPR data," IEEE Geosci. Remote Sens., Vol. 47, No. 3, 828-838, 2009.
doi:10.1109/TGRS.2008.2005250        Google Scholar

10. Slob, E. and K. Wapenaar, "Coupled Marchenko equations for electromagnetic Green’s function retrieval and imaging," SEG Houston 2013 Annual Meeting, 1863-1867, Society Exploration Geophysicists, 2013.        Google Scholar

11. Slob, E. and K. Wapenaar, "Data-driven inversion of GPR surface reflection data for lossless layered media," The 8th European Conference on Antennas and Propagation, 3378-3382, EUCAP, NL, 2014.        Google Scholar

12. Slob, E., K. Wapenaar, F. Broggini, and R. Snieder, "Seismic reflector imaging using internal multiples with Marchenko-type equations," Geophysics, Vol. 79, No. 2, S63-S76, 2014.
doi:10.1190/geo2013-0095.1        Google Scholar

13. Slob, E., "Green’s function retrieval and marchenko imaging in a dissipative acoustic medium," Phys. Rev. Lett., Vol. 116, No. 16, 1-6, 2016.
doi:10.1103/PhysRevLett.116.164301        Google Scholar

14. Slob, E. and K. Wapenaar, "Theory for marchenko imaging of marine seismic data with free surface multiple eliminationg," 79th EAGE Conference & Exhibition, A1-A4, EAGE, NL, 2017.        Google Scholar

15. Slob, E., "Theory for 1D full waveform inversion of surface GPR data," 17th International Conference on Ground Penetrating Radar, 306-309, Institute of Electrical and Electronics Engineers Inc., 2018.        Google Scholar

16. Tarantola, A., Inverse Problem Theory and Methods for Model Parameter Estimation, Society for Industrial and Applied Mathematic, 2005.
doi:10.1137/1.9780898717921

17. Van Der Neut, J. and J. T. Fokkema, "One-dimensional marchenko inversion in stretched space," Proceedings of the International Workshop on Medical Ultrasound Tomography, 15-24, T. Hopp, N. Ruiter, J. C. Bamber, N. Duric, and K. W. A. van Dongen, Eds., 2017.        Google Scholar

18. Wapenaar, C., M. Dillen, and J. T. Fokkema, "Reciprocity theorems for electromagnetic or acoustic one-way wave fields in dissipative inhomogeneous media," Radio Sci., Vol. 36, No. 5, 851-863, 2001.
doi:10.1029/2000RS002394        Google Scholar

19. Wapenaar, K., J. Thorbecke, J. Van Der Neut, F. Broggini, E. Slob, and R. Snieder, Marchenko imaging,” Geophysics, Vol. 79, No. 3, WA39-WA57, 2014.
doi:10.1190/geo2013-0302.1        Google Scholar

20. Yang, B. and E. Slob, "Theory for 1D GPR data inversion for a dissipative layered medium," 17th International Conference on Ground Penetrating Radar, 302-305, Institute of Electrical and Electronics Engineers Inc., 2018.        Google Scholar

21. Yang, X., A. Klotzsche, G. Meles, H. Vereecken, and J. Van Der Kruk, "Improvements in crosshole GPR full-waveform inversion and application on data measured at the Boise Hydrogeophysics Research Site," J. Appl. Geophys., Vol. 99, 114-124, 2013.
doi:10.1016/j.jappgeo.2013.08.007        Google Scholar