Efficient Upside-Down Rayleigh-Marchenko Imaging through Self-Supervised Focusing Function Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Ning, Ravasi, Matteo, Alkhalifah, Tariq |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Upside down Rayleigh-Marchenko: a practical, yet exact redatuming scheme for seabed seismic acquisitions
by: Wang, Ning, et al.
Published: (2024)
by: Wang, Ning, et al.
Published: (2024)
A Deep-Learning-Driven Optimization-Based Inverse Solver for Accelerating the Marchenko Method
by: Wang, Ning, et al.
Published: (2025)
by: Wang, Ning, et al.
Published: (2025)
A Deep‐Learning‐Driven Optimization‐Based Inverse Solver for Accelerating the Marchenko Method
by: Ning Wang, et al.
Published: (2025)
by: Ning Wang, et al.
Published: (2025)
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)
Signal Enhancement in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
by: Saad, Omar M., et al.
Published: (2024)
by: Saad, Omar M., et al.
Published: (2024)
Robust Full Waveform Inversion with deep Hessian deblurring
by: Alfarhan, Mustafa, et al.
Published: (2024)
by: Alfarhan, Mustafa, et al.
Published: (2024)
Self-supervised surface-related multiple suppression with multidimensional convolution
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks
by: Huang, Xinquan, et al.
Published: (2023)
by: Huang, Xinquan, et al.
Published: (2023)
Velocity model building from seismic images using a Convolutional Neural Operator
by: Ma, Xiao, et al.
Published: (2025)
by: Ma, Xiao, et al.
Published: (2025)
Meta-PINN: Meta learning for improved neural network wavefield solutions
by: Cheng, Shijun, et al.
Published: (2024)
by: Cheng, Shijun, et al.
Published: (2024)
Velocity Model Building and Editing with Guided Denoising Diffusion Implicit Models
by: Brandolin, Francesco, et al.
Published: (2026)
by: Brandolin, Francesco, et al.
Published: (2026)
Learned frequency-domain scattered wavefield solutions using neural operators
by: Huang, Xinquan, et al.
Published: (2024)
by: Huang, Xinquan, et al.
Published: (2024)
Discovery of physically interpretable wave equations
by: Cheng, Shijun, et al.
Published: (2024)
by: Cheng, Shijun, et al.
Published: (2024)
Geophysical inverse problems with measurement-guided diffusion models
by: Ravasi, Matteo
Published: (2025)
by: Ravasi, Matteo
Published: (2025)
An efficient pseudoelastic pure P‐mode wave equation and the implementation of the free surface boundary condition
by: Xinru Mu, et al.
Published: (2024)
by: Xinru Mu, et al.
Published: (2024)
High-resolution velocity model estimation with neural operator and the time-shift imaging condition
by: Ma, Xiao, et al.
Published: (2025)
by: Ma, Xiao, et al.
Published: (2025)
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
An effective physics-informed neural operator framework for predicting wavefields
by: Ma, Xiao, et al.
Published: (2025)
by: Ma, Xiao, et al.
Published: (2025)
Propagating the prior from far to near offset: A self-supervised diffusion framework for progressively recovering near-offsets of towed-streamer data
by: Cheng, Shijun, et al.
Published: (2026)
by: Cheng, Shijun, et al.
Published: (2026)
Physics-informed conditional diffusion model for generalizable elastic wave-mode separation
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
SeparationPINN: Physics-Informed Neural Networks for Seismic P- and S-Wave Mode Separation
by: Mu, Xinru, et al.
Published: (2025)
by: Mu, Xinru, et al.
Published: (2025)
Conditional Image Prior for Uncertainty Quantification in Full Waveform Inversion
by: Yang, Lingyun, et al.
Published: (2024)
by: Yang, Lingyun, et al.
Published: (2024)
Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
by: Taufik, Mohammad H., et al.
Published: (2025)
by: Taufik, Mohammad H., et al.
Published: (2025)
Physics-informed waveform inversion using pretrained wavefield neural operators
by: Huang, Xinquan, et al.
Published: (2025)
by: Huang, Xinquan, et al.
Published: (2025)
Controllable seismic velocity synthesis using generative diffusion models
by: Wang, Fu, et al.
Published: (2024)
by: Wang, Fu, et al.
Published: (2024)
Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting
by: Huang, Xinquan, et al.
Published: (2024)
by: Huang, Xinquan, et al.
Published: (2024)
Geological and Well prior assisted full waveform inversion using conditional diffusion models
by: Wang, Fu, et al.
Published: (2024)
by: Wang, Fu, et al.
Published: (2024)
Seismic wavefield solutions via physics-guided generative neural operator
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
SiameseLSRTM: Enhancing least-squares reverse time migration with a Siamese network
by: Mu, Xinru, et al.
Published: (2025)
by: Mu, Xinru, et al.
Published: (2025)
Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise
by: Abedi, Mohammad Mahdi, et al.
Published: (2023)
by: Abedi, Mohammad Mahdi, et al.
Published: (2023)
Ensemble Deep Learning for enhanced seismic data reconstruction
by: Abedi, Mohammad Mahdi, et al.
Published: (2024)
by: Abedi, Mohammad Mahdi, et al.
Published: (2024)
Joint Microseismic Event Detection and Location With a Detection Transformer
by: Yuanyuan Yang, et al.
Published: (2025)
by: Yuanyuan Yang, et al.
Published: (2025)
DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation
by: Cheng, Shijun, et al.
Published: (2025)
by: Cheng, Shijun, et al.
Published: (2025)
Physics-informed neural wavefields with Gabor basis functions
by: Alkhalifah, Tariq, et al.
Published: (2023)
by: Alkhalifah, Tariq, et al.
Published: (2023)
Microseismic source imaging using physics-informed neural networks with hard constraints
by: Huang, Xinquan, et al.
Published: (2023)
by: Huang, Xinquan, et al.
Published: (2023)
Representations for multidimensional down-down deconvolution of ocean-bottom seismic data: theory and practical implications
by: Wapenaar, Kees, et al.
Published: (2025)
by: Wapenaar, Kees, et al.
Published: (2025)
Seis2Rock: A Data-Driven Approach to Direct Petrophysical Inversion of Pre-Stack Seismic Data
by: Corrales, Miguel, et al.
Published: (2023)
by: Corrales, Miguel, et al.
Published: (2023)
Reciprocity-aware adaptive tile low-rank factorization for large-scale 3D multidimensional deconvolution
by: Chen, Fuqiang, et al.
Published: (2024)
by: Chen, Fuqiang, et al.
Published: (2024)
A reciprocity-aware, low-rank regularization for multidimensional deconvolution
by: Chen, Fuqiang, et al.
Published: (2023)
by: Chen, Fuqiang, et al.
Published: (2023)
Mitigating cycle skipping in full waveform inversion using max-pooling-based approximate envelope and shot patching
by: Mu, Xinru, et al.
Published: (2026)
by: Mu, Xinru, et al.
Published: (2026)
Similar Items
-
Upside down Rayleigh-Marchenko: a practical, yet exact redatuming scheme for seabed seismic acquisitions
by: Wang, Ning, et al.
Published: (2024) -
A Deep-Learning-Driven Optimization-Based Inverse Solver for Accelerating the Marchenko Method
by: Wang, Ning, et al.
Published: (2025) -
A Deep‐Learning‐Driven Optimization‐Based Inverse Solver for Accelerating the Marchenko Method
by: Ning Wang, et al.
Published: (2025) -
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) -
Signal Enhancement in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network
by: Saad, Omar M., et al.
Published: (2024)