Cover Image

Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hasan, Mahedi
Format:	Preprint
Published:	2025
Subjects:	Geophysics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
by: Slang, Sigmund, et al.
Published: (2024)

Theory-guided Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
by: Zerafa, Christopher, et al.
Published: (2025)

Quantification of Uncertainty and Its Propagation in Seismic Velocity Structure and Earthquake Source Inversion
by: Agata, Ryoichiro
Published: (2024)

Deep Learning-Based 3D Seismic Velocity Inversion Under Dual-Domain Sparse Representation
by: Chen, Guoxin, et al.
Published: (2026)

A Joint Inversion of Sources and Seismic Waveforms for Velocity Distribution: 1-D and 2-D Examples
by: Yu, Han
Published: (2024)

3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
by: Jiang, Peifan, et al.
Published: (2024)

Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
by: Wang, Hongtao, et al.
Published: (2024)

DispFormer: A Pretrained Transformer Incorporating Physical Constraints for Dispersion Curve Inversion
by: Liu, Feng, et al.
Published: (2025)

Geological Everything Model 3D: A Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
by: Dou, Yimin, et al.
Published: (2025)

Evaluation of Seismic Artificial Intelligence with Uncertainty
by: Myren, Samuel, et al.
Published: (2025)

SeismoStats: A Python Package for Statistical Seismology
by: Mirwald, Aron, et al.
Published: (2025)

High Resolution Seismic Waveform Generation using Denoising Diffusion
by: Palgunadi, Kadek Hendrawan, et al.
Published: (2024)

4D Seismic Inversion to Changes in Pressure and Saturation Using Deep Learning
by: Chean Lin Lew, et al.
Published: (2026)

Stochastic Joint Inversion of Seismic and Controlled‐Source Electromagnetic Data
by: Pankaj K Mishra, et al.
Published: (2025)

SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion
by: Khatounabad, Mojtaba Najafi, et al.
Published: (2023)

DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models
by: Zhang, Hao, et al.
Published: (2024)

Deep learning-based shot-domain seismic deblending
by: Sun, Jing, et al.
Published: (2024)

Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging
by: Zerafa, Christopher, et al.
Published: (2025)

Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model
by: Chen, Qi, et al.
Published: (2025)

Data-Driven Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
by: Zerafa, Christopher, et al.
Published: (2025)

Recovering Sub-threshold S-wave Arrivals in Deep Learning Phase Pickers via Shape-Aware Loss
by: Huang, Chun-Ming, et al.
Published: (2025)

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
by: Chen, Ruihua, et al.
Published: (2026)

Generalized Neural Networks for Real-Time Earthquake Early Warning
by: Zhang, Xiong, et al.
Published: (2023)

Seismic Traveltime Inversion with Quantum Annealing
by: Nguyen, Hoang Anh, et al.
Published: (2024)

TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology
by: Liu, Feng, et al.
Published: (2026)

Robust Subsurface Velocity and Density Estimation via Seismic Inversion With Global Misfit Minimisation and Full‐Offset Moveout
by: Vita Kalashnikova, et al.
Published: (2026)

Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
by: Chen, Ruihua, et al.
Published: (2026)

Seismic Attribute‐Oriented Post‐Stack Seismic Inversion
by: Ying Lin, et al.
Published: (2026)

Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon
by: Xu, Haodi, et al.
Published: (2025)

Implicit Neural Representations for Unsupervised Seismic Data Interpolation From Single Gather
by: Ganghoon Lee, et al.
Published: (2025)

A Physics‐Guided Deep Learning Workflow for Partial‐Stack Seismic Inversion
by: Haibin Di, et al.
Published: (2025)

3D Deep Learning Joint Inversion of Active Seismic Full Waveform and Passive Seismic Traveltime Data for Reservoir Imaging and Uncertainty Quantification
by: Evan Schankee Um, et al.
Published: (2026)

Seismic Fault Detection Using Dual‐Attention Multi‐Scale Fusion Networks With Deep Supervision
by: Yang Li, et al.
Published: (2025)

Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension
by: Liu, Feng, et al.
Published: (2025)

Observations of Local‐Distance P/S Amplitude Ratios from Deep Mine and Natural Seismic Sources: Implications for Seismic‐Source Discrimination
by: Chanel A. Deane, et al.
Published: (2025)

Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models
by: Erdinc, Huseyin Tuna, et al.
Published: (2024)

A Review of Modeling and Waveform Inversion for Marine Seismic Data
by: Chen, Guoxin
Published: (2026)

Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes
by: Chung, Jaehong, et al.
Published: (2025)

UnwrapDiff: A Conditional Diffusion Model for InSAR Phase Unwrapping
by: Song, Yijia, et al.
Published: (2025)

A comprehensive GeoAI review: Progress, Challenges and Outlooks
by: Boutayeb, Anasse, et al.
Published: (2024)