Results 51 to 60 of about 3,297,474 (208)
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
CoRRFull Waveform Inversion (FWI) is an important geophysical technique considered in subsurface property prediction. It solves the inverse problem of predicting high-resolution Earth interior models from seismic data. Traditional FWI methods are computationally demanding.
Kamaljyoti Nath +8 more
openaire +3 more sources
Remote Sensing, 2023 The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make full use of the kinematic and dynamic information of the measured data to reconstruct the underground model.
Deshan Feng +5 more
doaj +1 more source
Geological Inverse Problem‐Solving Method Based on Diffusion Models
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract Traditional geological parameter inversion methods often require repeated forward simulations for history matching, leading to high computational cost and limited inversion efficiency. Their performance may also be restricted when geological fields exhibit strong non‐Gaussian characteristics. To address these challenges, this study proposes an
Kai Zhang +8 more
wiley +1 more source
DL-AWI: Adaptive Full Waveform Inversion Using a Deep Twin Neural Network
GeosciencesFull waveform inversion (FWI) iteratively improves the accuracy of the model by minimizing the discrepancies between the predicted and the observed data.
Chao Li, Yangkang Chen
doaj +1 more source
Seismic waveform tomography with shot-encoding using a restarted L-BFGS algorithm
Scientific Reports, 2017 In seismic waveform tomography, or full-waveform inversion (FWI), one effective strategy used to reduce the computational cost is shot-encoding, which encodes all shots randomly and sums them into one super shot to significantly reduce the number of ...
Ying Rao, Yanghua Wang
doaj +1 more source
Frontiers in Earth Science, 2022 To better interpret the subsurface structures and characterize the reservoir, a depth model quantifying P-wave velocity together with additional rock’s physical parameters such as density, the S-wave velocity, and anisotropy is always preferred by ...
Zhonghan Liu +2 more
doaj +1 more source
Brückenkurs Geophysik - Full Waveform Inversion (FWI)
, 2018 Kann Seismik 300 Jahre Verteidigungsanlagen aufspüren? Funktion und technische Umsetzung der Full Waveform Inversion, Verwendung der vollständigen seismischen Amplituden- und Phaseninformationen, Beispieldaten und -auswertung der Ettlinger ...
Barth, Andreas
core +1 more source
2D full waveform inversion of shallow seismic Rayleigh waves [PDF]
, 2013 Main objective of this work is the application of 2D full waveform inversion (FWI) to recorded shallow seismic Rayleigh waves. Synthetic studies which are applied in preparation of such an inversion are presented to investigate the significance of ...
Groos, Lisa
core +1 more source
Jurnal Geofisika, 2021 Kandungan seismik frekuensi rendah sangat berperan penting terhadap hasil inversi pada pemodelan Full Waveform Inversion(FWI). Kehilangan frekuensi rendah dari data seismik akan membuat model akhir FWI sulit untuk konvergen. Penelitian ini melakukan ekstrapolasi frekuensi rendah dengan menggunakan deep learning.
Ekkal Dinanto +2 more
openaire +1 more source
Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints
Applied SciencesSeismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-
Cen Cao, Deshan Feng, Jia Tang, Xun Wang
doaj +1 more source