Results 161 to 170 of about 819 (209)

The effects of elastic data on acoustic and elastic full waveform inversion

Journal of Applied Geophysics, 2020
Abstract 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, Hui Zhou, Qingchen Zhang, Hanming Chen, Pengyuan Sun, Jianlei Zhang, Liang Zhang   +6 more
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Strategies for elastic full waveform inversion

2020
The 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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CSEM Data Inversion Constrained by Elastic Full-waveform Inversion

Proceedings, 2011
We 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 Using 4c Data Acquisition

Proceedings, 2012
Recent computer computational improvements have allowed us to simulate elastic data in a 3D manner and undertake the challenge to execute elastic full waveform inversion (EFWI). For the field data experiment to demonstrate the technologies, we elected to use a Gulf of Mexico (GOM) ocean bottom cable (OBC) data-set which allowed us to take advantage of
Denes Vigh, Kun Jiao, Dave Watts
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Elastic full-waveform inversion with probabilistic petrophysical model constraints

Geophysics, 2019
ABSTRACT 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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Implicit Neural Representation for Elastic Full‐Waveform Inversion

Geophysical Prospecting
ABSTRACT 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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Elastic Full Waveform Inversion for Near-Surface Imaging

68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006, 2006
We propose here a method for maging near-surface structures although it can nevertheless be applied for deeper areas characterization. We perform the elastic full waveform inversion in the frequency domain in order to recover physical properties of the medium from both body waves and surfaces waves.
Gelis, C., Virieux, J., Grandjean, Gilles   +2 more
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3D Elastic Full-Waveform Inversion

2011
Full Waveform Inversion (FWI) is a depth imaging technique that takes advantage of the full information contained in recorded seismic data. FWI provide high resolution images of subsurface properties, usually seismic velocities or related parameters, although in theory it could image any property used to formulate the wave equation.
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Elastic full waveform inversion with probabilistic petrophysical clustering

Geophysical Prospecting, 2020
ABSTRACTFull waveform inversion aims to use all information provided by seismic data to deliver high‐resolution models of subsurface parameters. However, multiparameter full waveform inversion suffers from an inherent trade‐off between parameters and from ill‐posedness due to the highly non‐linear nature of full waveform inversion.
Odette Aragao, Paul Sava
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Elastic Full Waveform Inversion for Sub-Basalt Imaging

EAGE 2020 Annual Conference & Exhibition Online, 2020
Summary Traditional model building techniques are challenged by the complexity of the wavefield in volcanic basin and finite frequency approach should be preferred. In view of the large velocity contrast observed at the top and base volcanic, elastic effects may occur.
A. Stopin, R. Plessix, S. Bergler
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