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The seismic image produced by pre-stack depth migration is more accurate and has clearer geological significance than the time image. However, the waveform of the depth-domain seismic image is affected not only by depth-dependent velocity variation but ...
Chengyu Sun, Ruiqian Cai, Zhen’an Yao
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An adaptive multiscale algorithm for efficient extended waveform inversion
Subsurface-offset extended full-waveform inversion (FWI) may converge to kinematically accurate velocity models without the low-frequency data accuracy required for standard data-domain FWI.
Lei Fu +3 more
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We apply a two-step seismic imaging flow by combined first-arrival traveltime and frequency-domain waveform tomographies to dense wide aperture data collected in the Val d’Agri basin (southern Italy).
Operto, S. +3 more
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Seismic inversion by Newtonian machine learning
We present a wave-equation inversion method that inverts skeletonized seismic data for the subsurface velocity model. The skeletonized representation of the seismic traces consists of the low-rank latent-space variables predicted by a well-trained ...
Chen, Yuqing, Schuster, Gerard T.
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Seismic Waveform Inversion with Source Manipulation
82nd EAGE Annual Conference & Exhibition, 2021Summary In recent decades, Full-waveform inversion (FWI) has suffered from the cycle-skipping issue, which we found can be mitigated by changing the source signature of the observed data. Compared with a physical source such as the Ricker source, seismic data with the Gaussian source can provide a better landscape of the objective function while ...
R. Wang, C. Bao, L. Qiu
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Probabilistic Approach to Seismic Waveform Inversion
Symposium on the Application of Geophysics to Engineering and Environmental Problems 2007, 2007Elastic waves carry substantial information about the characteristics of the medium they propagate in. However, most of the current methods which use elastic waves for engineering evaluations, only utilize a limited portion of this information, such as peak return frequency or dispersion curve.
Rambod Hadidi, Nenad Gucunski
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Multiscale seismic waveform inversion
Geophysics, 1995Abstract Iterative inversion methods have been unsuccessful at inverting seismic data obtained from complicated earth models (e.g. the Marmousi model), the primary difficulty being the presence of numerous local minima in the objective function.
Carey Bunks +3 more
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Implementation strategies of the seismic Full Waveform Inversion
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Full waveform inversion (FWI) is a state-of-the-art method that has been used to estimate parameters of the Earth's subsurface. One of the main drawbacks of the FWI method is its high computational complexity in terms of both time and memory. This occurs because the inversion method is based on the computation of a gradient function that requires the ...
Reynaldo F. Noriega +3 more
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Hierarchical approach of seismic full waveform inversion
Numerical Analysis and Applications, 2012Full waveform inversion (FWI) of seismic traces recorded at the free surface allows the reconstruction of the physical parameters structure on the underlying medium. For such a reconstruction, an optimization problem is defined, where synthetic traces, obtained through numerical techniques as finite-difference or finite-element methods in a given model
Asnaashari, A. +13 more
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Vertical seismic profile waveform inversion
Studia Geophysica et Geodaetica, 2015Waveform inversion of vertical seismic profile (VSP) data is studied in this paper. In this study, finite-difference acoustic wave modelling in the frequency-domain is used for seismic forward modelling and a classical iterative Gauss-Newton algorithm is used for inversion. The inversion algorithm in the frequency-domain allows a multiscale approach in
Navid Amini, Hamed Amini
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