Abstract
Multi-channel analysis of surface waves (MASW) is a popular nondestructive technique to explore subsurface earth. It is based on the Rayleigh wave’s dispersion criteria where a shorter wavelength travels through shallow depth and a relatively longer wavelength travels through deeper depth. Therefore, by generating a wide band of frequencies, the MASW technique can generate high-resolution seismic image of soil strata. However, the presence of noise can distort the multi-channel dispersion image resulting in an erroneous prediction. Noisy traces are often encountered during the field acquisition due to the use of low energy sources, background disturbances, faulty connections, etc. The two most common approaches to eliminate the presence of the noises in the records are multi-shot stacking and the use of a heavier source. In this paper, a comparison has been made between these two solutions. Twenty-four-channel field MASW shot is gathered with the help of a 20-lb heavy hammer and a 1-lb light hammer. The field data is collected in standalone mode as well as in a five-stack mode. A comparison of results demonstrates that the heavier source is more effective in filtering out noises compared to stacking.
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Tokimatsu, K., Tamura, S., Kojima, H.: Effects of multiple modes on rayleigh wave dispersion characteristics. J. Geotech. Eng. 118, 1529–1543 (1992). https://doi.org/10.1061/(ASCE)0733-9410(1992)118:10(1529)
Nazarian, S., Desai, M.R.: Automated surface wave method: field testing. J. Geotech. Eng. 119, 1094–1111 (1993). https://doi.org/10.1061/(ASCE)0733-9410(1993)119:7(1094)
Xia, J., Miller, R.D., Park, C.B.: Estimation of near-surface shear-wave velocity by inversion of Rayleigh waves. Geophysics 64, 691–700 (1999). https://doi.org/10.1190/1.1444578
Park, C.B., Miller, R.D., Xia, J.: Multichannel analysis of surface waves. Geophysics 64, 800–808 (1999). https://doi.org/10.1190/1.1444590
Aki, K., Richards, P.G.: Quantitative seismology, 2nd edn. University Science Books (2002)
Kumar, J., Naskar, T.: Effects of site stiffness and source to receiver distance on surface wave tests׳ results. Soil Dyn. Earthq. Eng. 77, 71–82 (2015). https://doi.org/10.1016/j.soildyn.2015.04.022
Naskar, T., Kumar, J.: A faster scheme to generate multimodal dispersion plots for Rayleigh wave propagation. Soil Dyn. Earthq. Eng. 117, 280–287 (2019). https://doi.org/10.1016/j.soildyn.2018.11.024
Kumar, J., Naskar, T.: A fast and accurate method to compute dispersion spectra for layered media using a modified Kausel-Roësset stiffness matrix approach. Soil Dyn. Earthq. Eng. 92, 176–182 (2017). https://doi.org/10.1016/j.soildyn.2016.09.042
Naskar, T.: Testing of ground subsurface using spectral and multichannel analysis of surface waves. Indian Institute of Science (IISC) (2018)
Kumar, J., Naskar, T.: Resolving phase wrapping by using sliding transform for generation of dispersion curves. Geophysics 82, V127–V136 (2017). https://doi.org/10.1190/geo2016-0207.1
Naskar, T., Kumar, J.: Predominant modes for Rayleigh wave propagation using the dynamic stiffness matrix approach. J. Geophys. Eng. 14, 1032–1041 (2017). https://doi.org/10.1088/1742-2140/aa6fe3
Shen, C., Wang, A., Wang, L., et al.: Resolution equivalence of dispersion-imaging methods for noise-free high-frequency surface-wave data. J. Appl. Geophys. 122, 167–171 (2015). https://doi.org/10.1016/j.jappgeo.2015.09.019
Socco, L.V., Strobbia, C.: Surface-wave method for near-surface characterization: a tutorial. Near Surf. Geophys. 2, 165–185 (2004). https://doi.org/10.3997/1873-0604.2004015
Mukherjee, S., Bhaumik, M., Naskar, T.: S-transform based processing of noisy surface wave record for recovering high-resolution spectrum. In: SEG Technical Program Expanded Abstracts, pp. 2631–2635. Society of Exploration Geophysicists and American Association of Petroleum Geologists (2022)
Strobbia, C.: Surface wave methods-acquisition, processing and inversion (2003)
Park, C.B.: Imaging dispersion of MASW data-full vs. Selective offset scheme. J. Environ. Eng. Geophys. 16, 13–23 (2011). https://doi.org/10.2113/JEEG16.1.13
Basri, K., Talib, M.K.A., Jumien, N.L., et al.: Influence of source energy and stacking on active MASW method dispersion image. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing, p 012017 (2020)
Baglari, D., Dey, A., Taipodia, J.: A state-of-the-art review of passive MASW survey for subsurface profiling. Innov. Infrastruct. Solut. 3, 66 (2018). https://doi.org/10.1007/s41062-018-0171-2
Neducza, B.: Stacking of surface waves. Geophysics 72, V51–V58 (2007). https://doi.org/10.1190/1.2431635
Socco, L.V., Boiero, D., Foti, S., Wisén, R.: Laterally constrained inversion of ground roll from seismic reflection records. Geophysics (2009). https://doi.org/10.1190/1.3223636/FORMAT/EPUB
Olafsdottir, E.A., Bessason, B., Erlingsson, S.: Combination of dispersion curves from MASW measurements. Soil Dyn. Earthq. Eng. 113, 473–487 (2018). https://doi.org/10.1016/J.SOILDYN.2018.05.025
Naskar, T., Kumar, J.: MATLAB codes for generating dispersion images for ground exploration using different MASW transforms. Geophysics (2022). https://doi.org/10.1190/geo2020-0928.1
Park, C.B., Miller, R.D., Xia, J.: Imaging dispersion curves of surface waves on multi-channel record. In: SEG Technical Program Expanded Abstracts 1998, pp. 1377–1380. Society of Exploration Geophysicists (1998)
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Naskar, T. Effectiveness of stacking in filtering noise from surface wave data. Int J Adv Eng Sci Appl Math 15, 55–69 (2023). https://doi.org/10.1007/s12572-023-00329-4
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DOI: https://doi.org/10.1007/s12572-023-00329-4