Abstract:A B S T R A C TAn integrated multiscale seismic imaging flow is applied to dense onshore wideaperture seismic data recorded in a complex geological setting (thrust belt).An initial P-wave velocity macromodel is first developed by first-arrival traveltime tomography. This model is used as an initial guess for subsequent full-waveform tomography, which leads to greatly improved spatial resolution of the P-wave velocity model. However, the application of full-waveform tomography to the high-frequency part of the … Show more
“…Brenders and Pratt (2007) also used absorbing boundary conditions when they inverted synthetic crustal-scale refraction data generated with a free surface by a third party, and they were able to image the model, which was not disclosed to them, with great detail. Operto et al (2004) and Bleibinhaus et al (2007) report good results, although they neglected the free surface condition in the inversion of data acquired in mountainous regions with irregular topography. However, Bleibinhaus et al also noted several artifacts in their waveform models, the source of which remained unclear.…”
Section: Introductionmentioning
confidence: 96%
“…In controlled source seismology the most popular forward solutions are finite difference frequency domain methods, mostly in a 2D viscoacoustic, isotropic implementation (e.g. Pratt, 1999;Hicks and Pratt, 2001;Operto et al, 2004;Ravaut et al, 2004;Operto et al, 2006;Bleibinhaus et al, 2007;Gao et al, 2007). The free surface is often ignored not only because modeling irregular topography is computationally extremely expensive, but also because modeling of free surface multiples requires extremely accurate background velocity and attenuation information, and also accurate correction factors for the geometric spreading of multiples, if the modeling is in 2D (Hicks and Pratt, 2001).…”
In full waveform inversion of seismic body waves, the free surface is often ignored on grounds of computational efficiency. We investigate the effect of this simplification for highly irregular topography by means of a synthetic example. Our test model and data conform to a long-offset survey of the upper crust in terms of size and frequency. Random fractal variations are superimposed on a background model. We compute synthetic data for this model and different topographies, and we invert it neglecting the free surface. The resulting waveform models are relatively similar and, for the most part, show a high degree of correlation with the true model. The inversion of the irregular-topography data produces a few strong artifacts at shallow depths, but only a minor decrease in overall resolution. However, both waveform models fail to image below a strong shallow velocity contrast. The results suggest that in this part of the model the incapacity to properly reproduce the reverberations from that contrast without free surface derails both inversions.
“…Brenders and Pratt (2007) also used absorbing boundary conditions when they inverted synthetic crustal-scale refraction data generated with a free surface by a third party, and they were able to image the model, which was not disclosed to them, with great detail. Operto et al (2004) and Bleibinhaus et al (2007) report good results, although they neglected the free surface condition in the inversion of data acquired in mountainous regions with irregular topography. However, Bleibinhaus et al also noted several artifacts in their waveform models, the source of which remained unclear.…”
Section: Introductionmentioning
confidence: 96%
“…In controlled source seismology the most popular forward solutions are finite difference frequency domain methods, mostly in a 2D viscoacoustic, isotropic implementation (e.g. Pratt, 1999;Hicks and Pratt, 2001;Operto et al, 2004;Ravaut et al, 2004;Operto et al, 2006;Bleibinhaus et al, 2007;Gao et al, 2007). The free surface is often ignored not only because modeling irregular topography is computationally extremely expensive, but also because modeling of free surface multiples requires extremely accurate background velocity and attenuation information, and also accurate correction factors for the geometric spreading of multiples, if the modeling is in 2D (Hicks and Pratt, 2001).…”
In full waveform inversion of seismic body waves, the free surface is often ignored on grounds of computational efficiency. We investigate the effect of this simplification for highly irregular topography by means of a synthetic example. Our test model and data conform to a long-offset survey of the upper crust in terms of size and frequency. Random fractal variations are superimposed on a background model. We compute synthetic data for this model and different topographies, and we invert it neglecting the free surface. The resulting waveform models are relatively similar and, for the most part, show a high degree of correlation with the true model. The inversion of the irregular-topography data produces a few strong artifacts at shallow depths, but only a minor decrease in overall resolution. However, both waveform models fail to image below a strong shallow velocity contrast. The results suggest that in this part of the model the incapacity to properly reproduce the reverberations from that contrast without free surface derails both inversions.
“…To avoid local minima in the misfit function, the data are lowpass filtered and then higher frequencies are gradually added to the traces to get more detail in the velocity model (Bunks et al, 1995;Operto et al, 2004). Various strategies are used for increasing the frequency content (Boonyasiriwat et al, 2009).…”
We have developed a tutorial for skeletonized inversion of pseudo-acoustic anisotropic vertical symmetry axis (VTI) data. We first invert for the anisotropic models using wave-equation traveltime inversion. Here, the skeletonized data are the traveltimes of transmitted and/or reflected arrivals that lead to simpler misfit functions and more robust convergence compared with full-waveform inversion. This provides a good starting model for waveform inversion. The effectiveness of this procedure is illustrated with synthetic data examples and a marine data set recorded in the Gulf of Mexico.
“…For practical applications, severe simplifications must be employed to make the inversion feasible. In controlled-source seismology, the most popular forward solutions are 2D, isotropic, acoustic or viscoacoustic, and FD frequencydomain methods ͑e.g., Hicks and Pratt, 2001;Operto et al, 2004;Ravaut et al, 2004;Operto et al, 2006;Bleibinhaus et al, 2007;Gao et al, 2007;Malinowski and Operto, 2008͒. Validity of this approximation has been established by a study on a physical scale model by Pratt ͑1999͒.…”
In full-waveform inversion of seismic body waves, often the free surface is ignored on grounds of computational efficiency. A synthetic study was performed to investigate the effects of this simplification. In terms of size and frequency, the test model and data conform to a real long-offset survey of the upper crust across the San Andreas fault. Random fractal variations are superimposed on a background model with strong lateral and vertical velocity variations ranging from 1200 to 6800 m/s. Synthetic data were computed and inverted for this model and different topographies. A fully viscoelastic time-domain code was used to synthesize the seismograms, and a viscoacoustic frequency-domain code was utilized to invert them. The inversion was focused on early arrivals, which are dominated by P-waves but also contain strong P-Rayleigh wave conversions from the near-field of the receiver. Resulting waveform models show artifacts and a loss of resolution from neglecting the free surface in the inversion, but the inversions are stable, and they still improve the resolution of kinematic models. The extent of deterioration depends more on the subsurface than on the surface structure. Inversion results were improved at no additional expense by introducing a weak contrast along a staircase function above shots and receivers.
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