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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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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 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 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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The influence of anisotropy on elastic full-waveform inversion
International Meeting for Applied Geoscience & Energy, 2015Summary Elastic 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. The
Tore S. Bergslid* +2 more
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CSEM Data Inversion Constrained by Elastic Full-waveform Inversion
Proceedings, 2011We present a joint inversion approach based on the structural similarity constraint between the resistivity and the seismic elastic properties (P-wave velocity, S-wave velocity and mass density) for reservoir exploration applications. In this algorithm, the electromagnetic data and the seismic (elastic) full-waveform data in the frequency domain are ...
A. Abubakar, J. Liu, T. M. Habashy
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Elastic full-waveform inversion with probabilistic petrophysical model constraints
Geophysics, 2019ABSTRACT Full-waveform inversion (FWI) based on the minimization of data residuals may not enhance our understanding of the subsurface and can at times lead to misleading subsurface models. Additionally, unconstrained multiparameter FWI may also lead to models that do not represent realistic lithology for independently derived ...
Odette Aragao, Paul Sava
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Full Elastic Waveform Inversion: Future of Quantitative Seismic Imaging
70th EAGE Conference and Exhibition - Workshops and Fieldtrips, 2008eismic reflection data are acquired at a very high cost. Conventional processing (stacking and migration) provides very high-quality image of the sub-surface, but does not provide quantitative measure of the physical properties of the sub-surface. Amplitude versus offset (AVO) analyses can be used to estimate P and S-wave impedances.
Satish Singh +5 more
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Implicit Neural Representation for Elastic Full‐Waveform Inversion
Geophysical ProspectingABSTRACT Full‐waveform inversion (FWI) has become a cornerstone for high‐resolution seismic imaging, yet it remains computationally demanding and sensitive to initial model assumptions and noise. Recent advances have shown that representing the subsurface model, using implicit neural representations (INRs), can provide compact ...
Berti Sean, Aleardi M., Stucchi E.
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