Browse > Article

Waveform inversion of shallow seismic refraction data using hybrid heuristic search method  

Takekoshi, Mika (The Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology)
Yamanaka, Hiroaki (The Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology)
Publication Information
Geophysics and Geophysical Exploration / v.12, no.1, 2009 , pp. 99-104 More about this Journal
Abstract
We propose a waveform inversion method for SH-wave data obtained in a shallow seismic refraction survey, to determine a 2D inhomogeneous S-wave profile of shallow soils. In this method, a 2.5D equation is used to simulate SH-wave propagation in 2D media. The equation is solved with the staggered grid finite-difference approximation to the 4th-order in space and 2nd-order in time, to compute a synthetic wave. The misfit, defined using differences between calculated and observed waveforms, is minimised with a hybrid heuristic search method. We parameterise a 2D subsurface structural model with blocks with different depth boundaries, and S-wave velocities in each block. Numerical experiments were conducted using synthetic SH-wave data with white noise for a model having a blind layer and irregular interfaces. We could reconstruct a structure including a blind layer with reasonable computation time from surface seismic refraction data.
Keywords
generic algorithm; heuristic search method; seismic refraction data; simulated annealing; waveform inversion;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Aoi, S., Iwata, T., Irikura, K., and Sanchez-Sesma, F. J., 1995, WaveformInversion for Determining the Boundary Shape of a Basin Structure: Bulletin of the Seismological Society of America, 85, 1445–1455
2 Pratt, R. G., Shin, C., and Hicks, G. J., 1998, Gauss-Newton and full Newtonmethods in frequency seismic waveform inversion: Geophysical Journal International, 133, 341–361. doi: 10.1046/j.1365-246X.1998.00498.x
3 Yamanaka, H., 2005, Comparison of performance of heuristic search methodsfor phase velocity inversion in shallow surface wave methods: Journal of Environmental&Engineering Geophysics, 10, 163–173. doi: 10.2113/JEEG10.2.163
4 Yamanaka, H., 2007, Inversion of surface-wave phase velocity using hybridheuristic search method: Butsuri Tansa, 60, 265–275
5 Burger, H. R., 1992, Exploration geophysics of the shallow subsurface: Prentice-Hall Inc., 95–101
6 Kramer, S. L., 1996, Geotechnical Earthquake Engineering: Prentice-Hall Inc
7 Gao, F., Levander, A., Pratt, R. G., Zelt, C. A., and Fradelizio, G.-L., 2007,Waveform tomography at a groundwater contamination site: Surface reflection data: Geophysics, 72, G45–G55. doi: 10.1190/1.2752744
8 Sen, M. K., Bhattacharya, B. B., and Stoffa, P. L., 1993, Nonlinear inversionof resistivity sounding data: Geophysics, 58, 496–507. doi: 10.1190/1.1443432
9 Yamanaka, H., and Ishida, H., 1996, Application of genetic algorithms to aninversion of surface-wave dispersion data: Bulletin of the Seismological Society of America, 86, 436–444
10 Hayashi, K., and Suzuki, H., 2004, CMP cross-correlation analysis ofmulti-channel surface-wave data: Exploration Geophysics, 35, 7–13. doi: 10.1071/EG04007
11 Sheng, J., Leeds, A., Buddensiek, M., and Schuster, G. T., 2006, Early arrivalwaveform tomography on near-surface refraction data: Geophysics, 71, U47–U57. doi: 10.1190/1.2210969