Full-traveltime inversion

Luo, Yi; Ma, Yue; Wu, Yan; Liu, Hongwei; Cao, Lei

doi:10.1190/geo2015-0353.1

Cited by 106 publications

(34 citation statements)

References 47 publications

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“…The proposed method assumes that the migration velocity is accurate enough so that the tilted events in time-shift gathers can become flat after the transformation with the method proposed by Xu et al (2014). When the migration velocity is not correct, it is possible to combine the proposed method with velocity model building methods that are based on time-shift gathers (Yang and Sava 2011;Luo et al 2016).…”

Section: Discussionmentioning

confidence: 99%

Increasing resolution of reverse‐time migration using time‐shift gathers

Xue

Fomel

Sun

2018

Geophysical Prospecting

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Reverse‐time migration has become an industry standard for imaging in complex geological areas. We present an approach for increasing its imaging resolution by employing time‐shift gathers. The method consists of two steps: (i) migrating seismic data with the extended imaging condition to get time‐shift gathers and (ii) accumulating the information from time‐shift gathers after they are transformed to zero‐lag time‐shift by a post‐stack depth migration on a finer grid. The final image is generated on a grid, which is denser than that of the original image, thus improving the resolution of the migrated images. Our method is based on the observation that non‐zero‐lag time‐shift images recorded on the regular computing grid contain the information of zero‐lag time‐shift image on a denser grid, and such information can be continued to zero‐lag time‐shift and refocused at the correct locations on the denser grid. The extra computational cost of the proposed method amounts to the computational cost of zero‐offset migration and is almost negligible compared with the cost of pre‐stack shot‐record reverse‐time migration. Numerical tests on synthetic models demonstrate that the method can effectively improve reverse‐time migration resolution. It can also be regarded as an approach to improve the efficiency of reverse‐time migration by performing wavefield extrapolation on a coarse grid and by generating the final image on the desired fine grid.

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Section: Discussionmentioning

confidence: 99%

Increasing resolution of reverse‐time migration using time‐shift gathers

Xue

Fomel

Sun

2018

Geophysical Prospecting

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“…It shows that the Born-based gradients fail to distinguish whether the background velocity is slower or faster than the true one. Then we apply the FTI theory (Luo et al, 2016), that assumes the velocity perturbation only causes the traveltime shifts of waveforms, on our objective function equation (1). The FTI-based adjoint source is ( , = 0, ) ∫ ( , = 0, ) 2 ( , ) ( , ) .…”

Section: Methodsmentioning

confidence: 99%

Full traveltime inversion in source domain

Liu

Guo

Luo³

2017

International Geophysical Conference, Qingdao, China, 17-20 April 2017

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SummaryThis paper presents a new method of source-domain full traveltime inversion (FTI). The objective of this study is automatically building near-surface velocity using the early arrivals of seismic data. This method can generate the inverted velocity that can kinetically best match the reconstructed plane-wave source of early arrivals with true source in source domain. It does not require picking first arrivals for tomography, which is one of the most challenging aspects of ray-based tomographic inversion. Besides, this method does not need estimate the source wavelet, which is a necessity for receiver-domain waveequation velocity inversion. Furthermore, we applied our method on one synthetic dataset; the results show our method could generate a reasonable background velocity even when shingling first arrivals exist and could provide a good initial velocity for the conventional full waveform inversion (FWI).

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“…The misfit function in the conventional FWI relies on the absolute waveform matching between synthetic data and observed data, and cycle skipping issue can easily occur if there is a significant phase and/or amplitude difference. Studies of seeking more convex function include the wave-equation traveltime based misfit function (Luo and Schuster, 1991;Luo et al, 2016), the envelope-based misfit function (Wu et al, 2014;Chi et al, 2014), the instantaneous-phase-based misfit function (Bozdag et al, 2011;Jiao et al, 2015), the correlation-based misfit function (Van Leeuwen and Mulder, 2010;Luo and Sava, 2011;Chi et al, 2015;Choi and Alkhalifah, 2016), the deconvolution-based misfit function (Luo and Sava, 2011;Warner and Guasch, 2016), the dynamic-time-warping-based misfit function (Ma and Hale, 2013), the Huber-norm misfit function (Guitton and Symes, 2003;Ha et al, 2009), and the optimal transport approach (Métivier et al, 2016a,b;Yang et al, 2017Yang et al, , 2018, etc. These misfit functions are generally more convex with respect to model perturbations, and therefore less prone to the cycle skipping issue.…”

Section: Introductionmentioning

confidence: 99%

Acoustic- and elastic-waveform inversion with total generalized p-variation regularization

Gao

Huang

2019

Geophysical Journal International

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Geophysical models usually contain both sharp interfaces and smooth variations, and it is difficult to accurately account for both of these two types of medium parameter variations using conventional full-waveform inversion methods. In addition, sparse geometry, noisy data and source encoding usually lead to strong inversion artifacts. We develop a novel full-waveform inversion method for acoustic and elastic waves using a total generalized p-variation regularization scheme to address these challenging problems. We decompose the full-waveform inversion into two subproblems and solve these two minimization subproblems using an alternatingdirection minimization strategy. One important advantage of the total generalized p-variation regularization scheme is that it can simultaneously reconstruct sharp interfaces and smooth background variations of geophysical parameters. Such capability can also effectively suppress the noises in source-encoded inversion and sparse-data inversion, or inversion of noisy data. We demonstrate the advantages of our new full-waveform inversion algorithm using a checkerboard model, a modified elastic SEG/EAGE overthrust model, and a land field seismic dataset. Our results of synthetic and field seismic data demonstrate that our new method reconstructs both smooth background variations and sharp interfaces of subsurface geophysical properties accurately, reduces the inversion artifacts caused by source encoding, noisy data or insufficient data coverage effectively, and provides a useful tool for accurate and reliable inversion of field seismic data.

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Full-traveltime inversion

Cited by 106 publications

References 47 publications

Increasing resolution of reverse‐time migration using time‐shift gathers

Increasing resolution of reverse‐time migration using time‐shift gathers

Full traveltime inversion in source domain

Acoustic- and elastic-waveform inversion with total generalized p-variation regularization

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