Full waveform inversion and distance separated simultaneous sweeping: a study with a land seismic data set

Plessix, René‐Edouard; Baeten, G.; Maag, J. W. de; Kroode, Fons ten; Zhang, Rujie

doi:10.1111/j.1365-2478.2011.01036.x

Cited by 63 publications

(40 citation statements)

References 28 publications

(40 reference statements)

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“…The potential of full waveform inversion (FWI) for highresolution imaging of complex media from low-frequency, wideaperture/wide-azimuth data has become apparent over the past decade (e.g., Ravaut et al, 2004;Sirgue et al, 2010;Plessix et al, 2012). The FWI method seeks to exploit the full information content of the seismic wavefield recorded over a broad range of incidence angles, to build subsurface models with a broad wavenumber content (Virieux and Operto, 2009).…”

Section: Introductionmentioning

confidence: 99%

Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 1: Sensitivity and trade-off analysis

et al. 2013

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In most geologic environments, accounting for anisotropy is necessary to perform acoustic full waveform inversion (FWI) of wide-azimuth and wide-aperture seismic data because of the potential dependence of wave speeds on the direction of the wave propagation. In the framework of multiparameter FWI, the subsurface parameterization controls the influence of the different parameter classes on the modeled seismic data as a function of the scattering angle and hence the resolution with which the parameters can be reconstructed and the potential trade-off between different parameters. We have evaluated a numerical procedure based on computation of the scattering patterns of the different parameters to assess the sensitivity of the seismic data to different parameterizations of vertical transverse isotropic media in the acoustic approximation. Among the different categories we have tested, a monoparametric FWI was found for imaging one wave speed with a broad wavenumber content, keeping the Thomsen parameters fixed, which have a small influence on the data relative to the wave speed. This raises the question of the initial information required in the background models of the Thomsen parameters to perform reliable monoparameter FWI. Alternatively, simultaneously inverting the horizontal and vertical wave speeds introduces limited trade-off effects because these wave speeds have significant influence on the data for distinct ranges of scattering angles, while the influence of the Thomsen parameter δ remains weak. With such parameterization, the short-to-intermediate wavelengths of the vertical velocity are updated from the short-tointermediate scattering angles, while the long-to-intermediate wavelengths of the horizontal velocity are updated from the wide-to-intermediate scattering angles. We concluded that the choice of the subsurface parameterization can be driven by the acquisition geometry, which controls the scattering-angle coverage and hence the resolving power of FWI, and by the accuracy of the available initial FWI models.

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Section: Introductionmentioning

confidence: 99%

Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 1: Sensitivity and trade-off analysis

et al. 2013

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“…With an increasing interest in FWI for oil and gas exploration and the rapid development of computer technology, extensive studies on FWI have been conducted over the past few decades. In recent years, several attempts have been made to apply FWI to real exploration data (Sirgue et al, 2009(Sirgue et al, , 2010Plessix et al, 2010Plessix et al, , 2012. However, the application of FWI to real data is susceptible to several intrinsic problems.…”

Section: Introductionmentioning

confidence: 98%

An algorithm for 3D acoustic time-Laplace-Fourier-domain hybrid full waveform inversion

et al. 2013

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When full waveform inversion (FWI) is performed in the Laplace-Fourier domain, Laplace-Fourier-domain wave modeling, using finite-difference or finite-element methods, is performed to compute the gradient direction. In this case, a complex impedance matrix is composed and factored by direct matrix solvers. Alternatively, iterative matrix solvers may be used. However, solving 3D problems with such methods requires excessive computer memory or computing time, which causes problems in the application of the Laplace-Fourier-domain FWI. To avoid computational overburden in 3D problems, we propose a time-Laplace-Fourier hybrid FWI, in which forward and backward modeling are performed in the time domain and other procedures are conducted in the Laplace-Fourier domain. Our hybrid FWI is applied to two groups of frequencies. Inversions for the first and second groups of frequencies correspond to the Laplace-domain FWI and the Laplace-Fourier-domain FWI, respectively. The graphic processing unit is used to speed up the hybrid inversion algorithm. To verify the feasibility of this technique, the 3D hybrid FWI is applied to the data recorded along the A1 line of the synthetic SEG/EAGE 3D salt model and 3D wide-azimuth real exploration data. Numerical examples show that the hybrid FWI yields reasonable subsurface velocity structures that contribute to the enhancement of reverse-time migration images.

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“…The method has been increasingly used for velocity model building on land in recent years, and successful applications of the technique range from near-surface engineering and environmental problems (e.g., Gao et al, 2006;Smithyman et al, 2009;Zhang et al, 2012;Adamczyk et al, 2014), to hydrocarbon exploration (e.g., Brenders, 2011;Plessix et al, 2012), and to crustal-scale investigations (e.g., Ravaut et al, 2004;Bleibinhaus et al, 2007;Smithyman and Clowes, 2013). Many of these applications deal with difficult data sets, including poor signal-to-noise ratios (S/Ns) (e.g., Ravaut et al, 2004;Smithyman et al, 2009;Brenders, 2011), crooked-line acquisition (Smithyman and Clowes, 2013), and rough topography (Bleibinhaus and Rondenay, 2009;Brenders, 2011).…”

Section: Introductionmentioning

confidence: 99%

Application of waveform tomography to a crooked-line 2D land seismic data set

et al. 2015

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Onshore hydrocarbon exploration in the back-arc region of Japan suffers from seismic imaging challenges. Seismic data are typically acquired in a difficult environment: along a crooked line over a rough surface topography underlain by severe near-surface weathering layers. The area is geologically complex, and prestack depth processing is desirable. However, the data quality is suboptimal at near offsets, and it hinders the migration velocity analysis required for depth processing. Thus, a geologic interpretation needs to rely on time-processing results. Nevertheless, some data sets are rich in low-frequency components and contain clear refracted and wide-angle reflected waves, both of which are favorable conditions for the application of waveform tomography. We have used one such data set, and we determined the applicability of waveform tomography to estimate the P-wave velocity distribution. To mitigate difficulties in the data, we carefully optimized waveform tomography strategies and diligently validated the results. We evaluated the effects of the crooked line by conducting waveform tomography in 2D and 2.5D. We determined that for this data set, the effect of the crooked line was not substantial enough to require the 2.5D implementation, but it was large enough to require careful trace editing. We also minimized the effects of large variations in amplitudes due to near-surface effects and source and receiver characteristics, primarily by fitting phase components of the data during waveform tomography, but also by adjusting the amplitudes in a surface-consistent manner to stabilize the source estimation process. The final velocity model delineated known shallow sedimentary structures, but it also revealed deep largethrust structures critical to the structural understanding of the area. The result confirmed the capability of waveform tomography to yield a reliable velocity model, and it also opened up the possibility of applications of depth processing in the region.

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Full waveform inversion and distance separated simultaneous sweeping: a study with a land seismic data set

Cited by 63 publications

References 28 publications

Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 1: Sensitivity and trade-off analysis

Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 1: Sensitivity and trade-off analysis

An algorithm for 3D acoustic time-Laplace-Fourier-domain hybrid full waveform inversion

Application of waveform tomography to a crooked-line 2D land seismic data set

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