Broadband Full Waveform Inversion by Shot/Receiver Re-focusing

Haffinger, P.; Gisolf, A.; Berg, Peter

doi:10.3997/2214-4609.20148788

Cited by 8 publications

(5 citation statements)

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“…In the first method, the sources and receivers are moved to 2, hence, reducing the size of the problem and decreasing the computation time. The redatuming needs an integral over the physical source and receivers (Wiggins, 1984); however, the finite sampling of the integrals, limited acquisition coverage, and inaccurate velocity models introduce artifacts in the virtual redatumed data (Haffinger, 2013;Mulder, 2005). The second category of methods do not modify the data acquisition setup, but they try to reconstruct an accurate local wavefield in 2 (Broggini et al, 2017;Gillman et al, 2015;Masson and Romanowicz, 2017;Robertson and Chapman, 2000;Teng, 2003;van Manen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Localized Wavefield Inversion (LWI): an Adaptation of Multi-Block ADMM for Localized FWI

Aghamiry¹,

Gholami²,

Operto³

et al. 2022

Preprint

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Full-waveform inversion (FWI) is a high-resolution and computationally intensive imaging technique to reconstruct unknown parameters in the computational model in which the waves propagate; however, an accurate model of only part of this medium is required for some applications. To decrease the computational burden of such problems, target-oriented FWI was proposed where the redatumed data on the part of the medium or localized solvers for the wave equation are used. On the other hand, the classical formulation of FWI suffers from non-linearity and ill-posedness, which makes FWI sensitive to the initial model, the low-frequency content of the data, and limited illumination. In this study, we propose a localized version of the alternating direction method of multipliers (ADMM)-based FWI method, which was proposed to solve these problems in classical FWI. In our localized FWI or LWI, the medium is decomposed into a few subdomains, where some of them are updated, and the others are kept fixed based on an adaptation of multi-block ADMM, which is a powerful algorithm for solving inverse problems with decomposition and block separability. Numerical tests on the Marmousi model for a time-lapse application confirm the computational efficiency and robustness against background velocity model errors.

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Section: Introductionmentioning

confidence: 99%

Localized Wavefield Inversion (LWI): an Adaptation of Multi-Block ADMM for Localized FWI

Aghamiry¹,

Gholami²,

Operto³

et al. 2022

Preprint

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“…This area of research is divided into two main categories. The first one is knows as redatuming [5,6,8,12,17,24,42,43,52,54], where we propagate the seismic survey in the region of interest. One of the biggest disadvantage of the redatuming formulation is that it modify the surface data recordings in the region of interest.…”

Section: Introductionmentioning

confidence: 99%

Enabling numerically exact local solver for waveform inversion—a low-rank approach

et al. 2019

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“…The work introduced in this paper falls into the latter category. In addition, an interesting procedure for doing local inversion in many small domains is introduced by Haffinger (2012). He poses the FWI problem in a novel way that makes possible the subdivision of the global problem into many small local problems.…”

Section: Introductionmentioning

confidence: 99%

“…Real surveys have finite spacing between sources and between receivers, so the integrals turn into summations (Bevc 1995). The finite sampling of the integrals and the limited source and receiver coverage introduce artefacts in the redatumed data, as was demonstrated by Haffinger (2012). Mulder (2005) expressed the redatuming as an inverse problem where he tried to correct these artefacts while successfully removing most of the effects of the stripped over-burden.…”

Section: Introductionmentioning

confidence: 99%

A numerically exact local solver applied to salt boundary inversion in seismic full-waveform inversion

2016

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S U M M A R YIn a set of problems ranging from 4-D seismic to salt boundary estimation, updates to the velocity model often have a highly localized nature. Numerical techniques for these applications such as full-waveform inversion (FWI) require an estimate of the wavefield to compute the model updates. When dealing with localized problems, it is wasteful to compute these updates in the global domain, when we only need them in our region of interest. This paper introduces a local solver that generates forward and adjoint wavefields which are, to machine precision, identical to those generated by a full-domain solver evaluated within the region of interest. This means that the local solver computes all interactions between model updates within the region of interest and the inhomogeneities in the background model outside. Because no approximations are made in the calculation of the forward and adjoint wavefields, the local solver can compute the identical gradient in the region of interest as would be computed by the more expensive full-domain solver. In this paper, the local solver is used to efficiently generate the FWI gradient at the boundary of a salt body. This gradient is then used in a level set method to automatically update the salt boundary.

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Broadband Full Waveform Inversion by Shot/Receiver Re-focusing

Cited by 8 publications

References 0 publications

Localized Wavefield Inversion (LWI): an Adaptation of Multi-Block ADMM for Localized FWI

Localized Wavefield Inversion (LWI): an Adaptation of Multi-Block ADMM for Localized FWI

Enabling numerically exact local solver for waveform inversion—a low-rank approach

A numerically exact local solver applied to salt boundary inversion in seismic full-waveform inversion

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