Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
Fuente:
arXiv
Saved in:
| Main Authors: | Lehmann, Fanny, Gatti, Filippo, Bertin, Michaël, Clouteau, Didier |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics
by: Lehmann, Fanny, et al.
Published: (2024)
by: Lehmann, Fanny, et al.
Published: (2024)
Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026)
by: Zou, Caifeng, et al.
Published: (2026)
Seismic event classification with a lightweight Fourier Neural Operator model
by: Abdullin, Ayrat, et al.
Published: (2025)
by: Abdullin, Ayrat, et al.
Published: (2025)
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
by: Vashisth, Divakar, et al.
Published: (2022)
by: Vashisth, Divakar, et al.
Published: (2022)
Are Fourier Neural Operators Really Faster for Time-Domain Wave Propagation?
by: Voytan, Dimitri, et al.
Published: (2025)
by: Voytan, Dimitri, et al.
Published: (2025)
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
by: Wang, Shuang, et al.
Published: (2024)
by: Wang, Shuang, et al.
Published: (2024)
Graph Network Surrogate Model for Subsurface Flow Optimization
by: Tang, Haoyu, et al.
Published: (2023)
by: Tang, Haoyu, et al.
Published: (2023)
SeisLM: a Foundation Model for Seismic Waveforms
by: Liu, Tianlin, et al.
Published: (2024)
by: Liu, Tianlin, et al.
Published: (2024)
Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion
by: Zou, Caifeng, et al.
Published: (2023)
by: Zou, Caifeng, et al.
Published: (2023)
Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
by: Yuan, Zhengyi, et al.
Published: (2026)
by: Yuan, Zhengyi, et al.
Published: (2026)
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)
by: Zerafa, Christopher
Published: (2025)
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment
by: Igilik, Alim
Published: (2026)
by: Igilik, Alim
Published: (2026)
Seismic Event Classification With a Lightweight Fourier Neural Operator Model
by: Ayrat Abdullin, et al.
Published: (2026)
by: Ayrat Abdullin, et al.
Published: (2026)
Groningen: Spatial Prediction of Rock Gas Saturation by Leveraging Selected and Augmented Well and Seismic Data with Classifier Ensembles
by: Ivlev, Dmitry
Published: (2024)
by: Ivlev, Dmitry
Published: (2024)
Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
by: Perrone, Niccolò, et al.
Published: (2025)
by: Perrone, Niccolò, et al.
Published: (2025)
Ambient Noise Full Waveform Inversion with Neural Operators
by: Zou, Caifeng, et al.
Published: (2025)
by: Zou, Caifeng, et al.
Published: (2025)
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
by: Wei, Xiaoli, et al.
Published: (2023)
by: Wei, Xiaoli, et al.
Published: (2023)
Seismic Traveltime Tomography with Label-free Learning
by: Wang, Feng, et al.
Published: (2024)
by: Wang, Feng, et al.
Published: (2024)
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
by: Wang, Nanzhe, et al.
Published: (2024)
by: Wang, Nanzhe, et al.
Published: (2024)
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
Effective Data Selection for Seismic Interpretation through Disagreement
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
Reducing Frequency Bias of Fourier Neural Operators in 3D Seismic Wavefield Simulations Through Multi-Stage Training
by: Kong, Qingkai, et al.
Published: (2025)
by: Kong, Qingkai, et al.
Published: (2025)
RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
by: Efe, Onur, et al.
Published: (2024)
by: Efe, Onur, et al.
Published: (2024)
An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
by: Zhao, Qingqi, et al.
Published: (2025)
by: Zhao, Qingqi, et al.
Published: (2025)
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
by: Shi, Yaozhong, et al.
Published: (2023)
by: Shi, Yaozhong, et al.
Published: (2023)
Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
by: Abdullin, Ayrat, et al.
Published: (2025)
by: Abdullin, Ayrat, et al.
Published: (2025)
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
by: Qu, Luping, et al.
Published: (2024)
by: Qu, Luping, et al.
Published: (2024)
Controlled Latent Diffusion Models for 3D Porous Media Reconstruction
by: Naiff, Danilo, et al.
Published: (2025)
by: Naiff, Danilo, et al.
Published: (2025)
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
by: Callahan, Jake, et al.
Published: (2024)
by: Callahan, Jake, et al.
Published: (2024)
Modeling Seismic Wave Propagation in TTI Media Using Residual Perfectly Matched Layer
by: Luo, Yuqin, et al.
Published: (2024)
by: Luo, Yuqin, et al.
Published: (2024)
Evaluation of Seismic Artificial Intelligence with Uncertainty
by: Myren, Samuel, et al.
Published: (2025)
by: Myren, Samuel, et al.
Published: (2025)
Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable Diffusion Transformer
by: Gabrielidis, Hugo, et al.
Published: (2025)
by: Gabrielidis, Hugo, et al.
Published: (2025)
Physical Sensitivity Kernels Can Emerge in Data-Driven Forward Models: Evidence From Surface-Wave Dispersion
by: Yu, Ziye, et al.
Published: (2026)
by: Yu, Ziye, et al.
Published: (2026)
The Physics-Informed Neural Network Gravity Model: Generation III
by: Martin, John, et al.
Published: (2023)
by: Martin, John, et al.
Published: (2023)
LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
by: Kalimuthu, Marimuthu, et al.
Published: (2025)
by: Kalimuthu, Marimuthu, et al.
Published: (2025)
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
by: Lyu, Dongwei, et al.
Published: (2024)
by: Lyu, Dongwei, et al.
Published: (2024)
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?
by: Riess, Hans, et al.
Published: (2024)
by: Riess, Hans, et al.
Published: (2024)
Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
by: Cortes, Gaëtan, et al.
Published: (2024)
by: Cortes, Gaëtan, et al.
Published: (2024)
Similar Items
-
Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics
by: Lehmann, Fanny, et al.
Published: (2024) -
Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026) -
Seismic event classification with a lightweight Fourier Neural Operator model
by: Abdullin, Ayrat, et al.
Published: (2025) -
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
by: Vashisth, Divakar, et al.
Published: (2022) -
Are Fourier Neural Operators Really Faster for Time-Domain Wave Propagation?
by: Voytan, Dimitri, et al.
Published: (2025)