Imagen de Portada

On the workflow, opportunities and challenges of developing foundation model in geophysics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sheng, Hanlin, Wu, Xinming, Gao, Hang, Di, Haibin, Fomel, Sergey, Li, Jintao, Si, Xu
Formato:	Preprint
Publicado:	2025
Materias:	Geophysics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
por: Gao, Hang, et al.
Publicado: (2024)

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

Training a generalizable diffusion model for seismic data processing using a large-scale open-source waveform dataset
por: Gong, Xinyue, et al.
Publicado: (2026)

A generative foundation model for an all-in-one seismic processing framework
por: Cheng, Shijun, et al.
Publicado: (2025)

Phase variance as a seismic quality-control attribute
por: Rohatgi, Akshika, et al.
Publicado: (2026)

Pretrain-to-alignment learning paradigm to improve geophysical AI applicability under scarce field labels and synthetic-to-field gaps: A case study of relative geologic time estimation in global shelf-edge clinothems
por: Gao, Hui, et al.
Publicado: (2026)

Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems
por: Gao, Hui, et al.
Publicado: (2026)

When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System
por: Zhang, Hao, et al.
Publicado: (2023)

Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation
por: Li, Xuechun, et al.
Publicado: (2024)

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

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

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

Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis
por: Wang, Luoqi, et al.
Publicado: (2024)

Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
por: Muhammad, Ressi Bonti, et al.
Publicado: (2023)

High-Precision Geosteering via Reinforcement Learning and Particle Filters
por: Muhammad, Ressi Bonti, et al.
Publicado: (2024)

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

Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
por: Bochow, Nils, et al.
Publicado: (2025)

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

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

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

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

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

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

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

A convolutional neural network approach to deblending seismic data
por: Sun, Jing, et al.
Publicado: (2024)

Improving moment tensor solutions under Earth structure uncertainty with simulation-based inference
por: Saoulis, A. A., et al.
Publicado: (2026)

Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
por: Guo, Zhixiang, et al.
Publicado: (2024)

Learning Stratigraphically Consistent Relative Geologic Time from 3D Seismic Data via Sinusoidal Mapping
por: Dou, Yimin, et al.
Publicado: (2026)

Geophysics-informed neural network for model-based seismic inversion using surrogate point spread functions
por: Saraiva, Marcus, et al.
Publicado: (2025)

Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network
por: Harsuko, Randy, et al.
Publicado: (2024)

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

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

Pedophysics: an open-source python package for soil geophysics
por: Veirana, Gaston Mendoza, et al.
Publicado: (2024)

GreenPhase: A Green Learning Approach for Earthquake Phase Picking
por: Wu, Yixing, et al.
Publicado: (2026)

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

Fourier Neural Operator based surrogates for $CO_2$ storage in realistic geologies
por: Chandra, Anirban, et al.
Publicado: (2025)

The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
por: Mazumder, Arnab, et al.
Publicado: (2025)

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

Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+
por: Hasan, Mahedi
Publicado: (2025)

Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review
por: Ying, Zhang, et al.
Publicado: (2025)