Results 151 to 160 of about 817 (207)
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Elastic full-waveform inversion for surface topography
Geophysics, 2017Elastic full-waveform inversion (EFWI) attempts to find high-resolution model parameters that are able to match observed data exactly by minimizing residuals between the observed and predicted data. However, irregular surface topography can generate problematic EFWI results.
Zhe Guan, Zhenchun Li, Yingming Qu
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Well-Guided Multisource Elastic Full-Waveform Inversion
IEEE Transactions on Geoscience and Remote Sensing, 2022Full waveform inversion (FWI) has been considered one of the most promising approaches to estimating the high-resolution subsurface parameters, which takes advantage of the kinematics and dynamics information of seismic data. However, FWI is greatly dependent on the accuracy of the initial model and vulnerable to the issue of local minimum.
Qingqing Li +3 more
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Elastic 3D full-waveform inversion
SEG Technical Program Expanded Abstracts 2012, 2012s, U038. © 2012 SEG DOI http://dx.doi.org/10.1190/segam2012-1239.1 SEG Las Vegas 2012 Annual Meeting Page 5 This article has been cited by: 1. Joanna Morgan, Michael Warner, Gillean Arnoux, Emilie Hooft, Douglas Toomey, Brandon VanderBeek, William Wilcock. 2016.
Lluís Guasch +6 more
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Strategies for elastic full waveform inversion
SEG Technical Program Expanded Abstracts 2014, 2014Ocean-bottom cables (OBC) have become common in reservoir monitoring of oil and gas production, and also for CO2 capture and storage experiments. Compared to conventional streamer data, OBC data contain more information, particularly about shear waves.
Espen Birger Raknes*, Børge Arntsen
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Elastic Reflection Full Waveform Inversion
Proceedings, 2018Reflection full waveform inversion is a formulation of full waveform inversion designed to extract low wavenumber velocity information from the reflected wavefield. In this works we extend reflection full waveform inversion to an elastic framework. This allows the estimation of both P-wave and S-wave velocities using reflected waveforms.
W. Weibull, F. Ebrahim
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Elastic Full Waveform Inversion Benefits (and Pitfalls)
82nd EAGE Annual Conference & Exhibition, 2020Summary Elastic FWI can improve depth imaging by honoring both the phase and the waveform. An efficient numerical scheme and smart parameterization have been implemented to make a satisfactory compromise between numerical accuracy and computational efficiency. We discuss the added value of elastic FWI to recover P-wave velocity in the vicinity of sharp
C. Rivera, P. Trinh, E. Bergounioux
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Elastic Full Waveform Inversion With Angle Decomposition and Wavefield Decoupling
IEEE Transactions on Geoscience and Remote Sensing, 2021Full waveform inversion (FWI) is a powerful tool to understand the real complicated earth model. As FWI is a highly nonlinear problem and depends strongly on the initial model, how to effectively retrieve the large-scale background model is critical for the success of FWI. For elastic FWI (EFWI), the inversion challenge increases because the P-wave and
Jingrui Luo +3 more
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The influence of anisotropy on elastic full-waveform inversion
SEG Technical Program Expanded Abstracts 2015, 2015Elastic full-waveform inversion (FWI) is most commonly used for isotropic media, whereas anisotropic FWI is usually done in the acoustic approximation. We have compared different assumptions commonly used in FWI: elastic versus acoustic and isotropic versus anisotropic (VTI) using a dataset that is anisotropic and elastic.
Tore S. Bergslid* +2 more
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The effects of elastic data on acoustic and elastic full waveform inversion
Journal of Applied Geophysics, 2020Abstract Full waveform inversion (FWI) is regarded as an effective method to obtain high accuracy subsurface parameters like velocity and density. When it is applied to real seismic data , some challenges may appear. Real seismic data contain complex wavefields including compressional waves, shear waves and their interconversions, however, acoustic ...
Jinwei Fang +6 more
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Strategies for elastic full waveform inversion
2020The advent of modern supercomputers, in conjunction with larger, more comprehensive datasets, has led to a paradigm shift in seismic imaging. Full waveform inversion is routinely employed as a tool to estimate subsurface properties of the Earth with high resolution.
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