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Source-domain full-waveform inversions
Geophysics, 2019ABSTRACT Conventional full-waveform inversion (FWI) updates a velocity model by minimizing the data residuals between the predicted and observed data at the receiver positions. We have developed a new FWI to update the velocity model by minimizing virtual source artifacts at the receiver positions in the source-domain FWI (SFWI ...
Yulang Wu, George A. McMechan
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Resolution Analysis in Full Waveform Inversion
Geophysical Journal International, 2011We propose a new method for the quantitative resolution analysis in full seismic waveform inversion that overcomes the limitations of classical synthetic inversions while being computationally more efficient and applicable to any misfit measure. The method rests on (1) the local quadratic approximation of the misfit functional in the vicinity of an ...
Fichtner, A., Trampert, J.
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Adjustive full waveform inversion
SEG Technical Program Expanded Abstracts 2015, 2015One fundamental challenge of full waveform inversion(FWI) is the local minimum issue caused by the cycle skipping between the predicted and acquired data. To overcome this challenge and achieve a successful inversion, a good initial model becomes a necessary ingredient of FWI.
Kun Jiao* +3 more
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2015
Inferring interior properties of the Sun from photospheric measurements of the seismic wavefield constitutes the helioseismic inverse problem. Deviations in seismic measurements (such as wave travel times) from their fiducial values estimated for a given model of the solar interior imply that the model is inaccurate.
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Inferring interior properties of the Sun from photospheric measurements of the seismic wavefield constitutes the helioseismic inverse problem. Deviations in seismic measurements (such as wave travel times) from their fiducial values estimated for a given model of the solar interior imply that the model is inaccurate.
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Full waveform inversion using Random Mixing
Computers & Geosciences, 2022Most deterministic full waveform inversion (FWI) approaches require an initial model, which serves as a starting point for the inversion. Determining such an initial model, however, is not straight forward. In this paper, a geostatistical inversion approach called Random Mixing (RM) for FWI is presented.
Ao Chang, Lutz Gross, Sebastian Hörning
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An introduction to full waveform inversion
2014Abstract Full waveform inversion (FWI) is a high-resolution seismic imaging technique that is based on using the entire content of seismic traces for extracting physical parameters of the medium sampled by seismic waves. The wide-spread strategy of seismic imaging, the single scattering formulation, at the core of FWI, assumes no ...
Virieux, Jean +5 more
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Decentralized Full-Waveform Inversion
Proceedings, 2018With the advent of efficient seismic data acquisition, we are having a surplus of seismic data, which is improving the imaging of the earth using full-waveform inversion. However, such inversion suffers from many issues, including (i) substantial network waiting time due to repeated communications of function and gradient values in the distributed ...
Kadu, A.A., Kumar, Rajiv
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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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Genetic Full Waveform Inversion to Characterise Fractures
81st EAGE Conference and Exhibition 2019, 2019Understanding the physical properties of fractures, location, orientation, and geometry is of primary importance in the comprehension of geo-resources and geo-hazards. In doing so seismic waves can be an effective tool for non-invasive investigation of fracture parameters.
Fuggi, A +4 more
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Optimal Matching Full Waveform Inversion
IEEE Transactions on Geoscience and Remote Sensing, 2023Weiguang He, Guanghui Hu, Bing Zhang
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