Multiscale transform based seismic reflectivity inversion using convolutional neural network
Fuente:
arXiv
Saved in:
| Main Authors: | Castagna, John, Portniaguine, Oleg, Gil, Gabriel, Oyem, Arnold, Liang, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Near offset reconstruction for marine seismic data using a convolutional neural network
by: Owen Rohwer Huff, et al.
Published: (2024)
by: Owen Rohwer Huff, et al.
Published: (2024)
A convolutional neural network approach to deblending seismic data
by: Sun, Jing, et al.
Published: (2024)
by: Sun, Jing, et al.
Published: (2024)
An approach of 2D convolutional neural network–based seismic data fault interpretation with linear annotation and pixel thinking
by: Bowen Deng, et al.
Published: (2024)
by: Bowen Deng, et al.
Published: (2024)
Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis
by: Berman, Neri, et al.
Published: (2024)
by: Berman, Neri, et al.
Published: (2024)
Enhancing porosity prediction: Integrating seismic inversion utilizing sparse layer reflectivity, and particle swarm optimization with radial basis function neural networks
by: Ravi Kant, et al.
Published: (2024)
by: Ravi Kant, et al.
Published: (2024)
Geophysics-informed neural network for model-based seismic inversion using surrogate point spread functions
by: Saraiva, Marcus, et al.
Published: (2025)
by: Saraiva, Marcus, et al.
Published: (2025)
Simultaneous P‐ and S‐wave seismic traveltime tomography using physics‐informed neural networks
by: Chao Song, et al.
Published: (2025)
by: Chao Song, et al.
Published: (2025)
An anti-noise seismic inversion method based on diffusion model
by: Liu, Yingtian, et al.
Published: (2024)
by: Liu, Yingtian, et al.
Published: (2024)
Blind spectral inversion of seismic data
by: Yaoguang Sun, et al.
Published: (2024)
by: Yaoguang Sun, et al.
Published: (2024)
Bayesian full waveform inversion with learned prior using deep convolutional autoencoder
by: Hu, Shuhua, et al.
Published: (2025)
by: Hu, Shuhua, et al.
Published: (2025)
Nonlinear seismic amplitude versus offset inversion using the exact Zoeppritz equation
by: Weibull, Wiktor Waldemar, et al.
Published: (2025)
by: Weibull, Wiktor Waldemar, et al.
Published: (2025)
PINNPStomo: Simultaneous P- and S-wave seismic traveltime tomography using physics-informed neural networks with a new factored eikonal equation
by: Song, Chao, et al.
Published: (2024)
by: Song, Chao, et al.
Published: (2024)
Interpretation of seismic inversion using ternary diagram: Seismic lithology identification
by: Javad Sharifi
Published: (2025)
by: Javad Sharifi
Published: (2025)
Seismic inversion using hybrid quantum neural networks
by: Vashisth, Divakar, et al.
Published: (2025)
by: Vashisth, Divakar, et al.
Published: (2025)
Neural machine translation of seismic waves for petrophysical inversion
by: Teixeira, José Cunha, et al.
Published: (2024)
by: Teixeira, José Cunha, et al.
Published: (2024)
Building initial model for seismic inversion based on semi‐supervised learning
by: Qianhao Sun, et al.
Published: (2024)
by: Qianhao Sun, et al.
Published: (2024)
Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines
by: Zhang, Cheng, et al.
Published: (2024)
by: Zhang, Cheng, et al.
Published: (2024)
A facies‐constrained geostatistical seismic inversion method based on multi‐scale sparse representation
by: Qin Su, et al.
Published: (2024)
by: Qin Su, et al.
Published: (2024)
Generative modeling of seismic data using diffusion models and its application to multi-purpose posterior sampling for noisy inverse problems
by: Meng, Chuangji, et al.
Published: (2025)
by: Meng, Chuangji, et al.
Published: (2025)
Pre-stack and post-stack seismic inversion using quantum computing
by: Vashisth, Divakar, et al.
Published: (2025)
by: Vashisth, Divakar, et al.
Published: (2025)
Unsupervised learning inversion of seismic velocity models based on a multi‐scale strategy
by: Senlin Yang, et al.
Published: (2025)
by: Senlin Yang, et al.
Published: (2025)
Simultaneous seismic data de‐aliasing and denoising with a fast adaptive method based on hybrid wavelet transform
by: Peng Zhang, et al.
Published: (2024)
by: Peng Zhang, et al.
Published: (2024)
Mitigation and optimization of induced seismicity using physics-based forecasting
by: Hill, Ryley G, et al.
Published: (2024)
by: Hill, Ryley G, et al.
Published: (2024)
Slope assisted Physics‐informed neural networks for seismic signal separation with applications on ground roll removal and interpolation
by: Francesco Brandolin, et al.
Published: (2025)
by: Francesco Brandolin, et al.
Published: (2025)
Research on a fast seismic‐wave simulation method based on Fourier neural operators
by: Limin Wang, et al.
Published: (2025)
by: Limin Wang, et al.
Published: (2025)
Reduced-order modeling for complex 3D seismic wave propagation
by: Rekoske, John M., et al.
Published: (2024)
by: Rekoske, John M., et al.
Published: (2024)
Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks
by: Agata, Ryoichiro, et al.
Published: (2026)
by: Agata, Ryoichiro, et al.
Published: (2026)
Decomposition and utilization of source and receiver ghosts in marine seismic reflection survey data
by: Ozasa, Hiroaki, et al.
Published: (2022)
by: Ozasa, Hiroaki, et al.
Published: (2022)
Locating clustered seismicity using Distance Geometry Solvers: applications for sparse and single-borehole DAS networks
by: Tuinstra, Katinka, et al.
Published: (2023)
by: Tuinstra, Katinka, et al.
Published: (2023)
Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material properties
by: Choi, Yongjin, et al.
Published: (2025)
by: Choi, Yongjin, et al.
Published: (2025)
Envelope normalized reflection waveform inversion
by: Yilin Wang, et al.
Published: (2024)
by: Yilin Wang, et al.
Published: (2024)
Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
by: Miele, Roberto, et al.
Published: (2025)
by: Miele, Roberto, et al.
Published: (2025)
Efficient scattering approach to seismic full-waveform inversion in anisotropic elastic media with variable density
by: Xiang, Kui, et al.
Published: (2024)
by: Xiang, Kui, et al.
Published: (2024)
Plug-and-Play regularized 3D seismic inversion with 2D pre-trained denoisers
by: Luiken, Nick, et al.
Published: (2024)
by: Luiken, Nick, et al.
Published: (2024)
Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network
by: Ma, Ziqi, et al.
Published: (2025)
by: Ma, Ziqi, et al.
Published: (2025)
Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China
by: Jiasheng She, et al.
Published: (2024)
by: Jiasheng She, et al.
Published: (2024)
Physics-informed waveform inversion using pretrained wavefield neural operators
by: Huang, Xinquan, et al.
Published: (2025)
by: Huang, Xinquan, et al.
Published: (2025)
Regularization with differential evolution‐based common‐offset common‐reflection surface: A case study for field onshore seismic data
by: Tainá Souza, et al.
Published: (2025)
by: Tainá Souza, et al.
Published: (2025)
Evaluating the performance of machine-learning-based phase pickers when applied to ocean bottom seismic data: Blanco oceanic transform fault as a case study
by: Liu, Min, et al.
Published: (2024)
by: Liu, Min, et al.
Published: (2024)
Bayesian geoacoustic inversion using mixture density network
by: Wu, Guoli, et al.
Published: (2020)
by: Wu, Guoli, et al.
Published: (2020)
Similar Items
-
Near offset reconstruction for marine seismic data using a convolutional neural network
by: Owen Rohwer Huff, et al.
Published: (2024) -
A convolutional neural network approach to deblending seismic data
by: Sun, Jing, et al.
Published: (2024) -
An approach of 2D convolutional neural network–based seismic data fault interpretation with linear annotation and pixel thinking
by: Bowen Deng, et al.
Published: (2024) -
Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis
by: Berman, Neri, et al.
Published: (2024) -
Enhancing porosity prediction: Integrating seismic inversion utilizing sparse layer reflectivity, and particle swarm optimization with radial basis function neural networks
by: Ravi Kant, et al.
Published: (2024)