Results 11 to 20 of about 2,936 (205)
GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning
Journal of Geophysical Research: Machine Learning and ComputationFull waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties.
Chao Li +5 more
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Using Seismic Full-Waveform Inversion (FWI) for Structural Investigation of the Danevirke
ArchéoSciences, 2021 – Applicability of seismic FWI to archaeological targets with strong topography.– Reconstruction of building phases and state of preservation using seismic FWI.
Zolchow, Manuel +3 more
openaire +2 more sources
Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data
Remote Sensing, 2019 Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly ...
Xu Meng, Sixin Liu, Yi Xu, Lei Fu
doaj +1 more source
Applied Mathematics in Science and Engineering, 2023 Full waveform inversion (FWI) can provide an accurate velocity model by matching observed and simulated seismograms. Mathematically, FWI is a highly ill-posed inverse problem that the observed data are independent of the model and cannot be inverted ...
Hongsun Fu, Hongyu Qi, Ruixue Gu
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Adaptive waveform inversion: theory [PDF]
, 2016 Conventional full-waveform seismic inversion attempts to find a model of the subsurface that is able to predict observed seismic waveforms exactly; it proceeds by minimizing the difference between the observed and predicted data directly, iterating in a ...
Guasch, L, Warner, M
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Earth Sciences Research Journal, 2018 This paper investigates the capability of acoustic Full Waveform Inversion (FWI) in building Marmousi velocity model, in time and frequency domain. FWI is an iterative minimization of misfit between observed and calculated data which is generally solved ...
Sagar Singh +2 more
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Earth and Planetary Physics, 2021 The nearly analytic discrete (NAD) method is a kind of finite difference method with advantages of high accuracy and stability. Previous studies have investigated the NAD method for simulating wave propagation in the time-domain.
DeYao Zhang +5 more
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Regularizing velocity differences in time-lapse FWI using gradient mismatch information [PDF]
, 2015 We present a method for recovering time-lapse velocity changes using full waveform inversion (FWI). In a preprocessing step we invert for a single intermediate model by simultaneously minimizing the data misfit in the baseline and the monitor surveys. We
Maharramov M. +3 more
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Optimal Inversion Method Based on Joint Waveform Inversion and Least Squares Reverse Time Migration [PDF]
LithosphereJoint Waveform inversion (JWI) uses the results of reflection waveform inversion (RWI) as the initial model for full waveform inversion (FWI). Compared with the FWI, the JWI method can obtain more information about the structure of the subsurface medium.
Kai Zhang +4 more
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Toward an automatic full-wave inversion: Synthetic study cases [PDF]
, 2016 Full-waveform inversion (FWI) in seismic scenarios continues to be a complex procedure for subsurface imaging that might require extensive human interaction in terms of model setup, constraints, and data preconditioning.
Cela, Jose M. +7 more
core +2 more sources