Image de couverture de livre

SeisDiff-intp: a unified prompt-guided flow matching framework for multi-tasks seismic interpretation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Donglin, Li, Peiyao, Jin, Ge
Format:	Preprint
Publié:	2026
Sujets:	Geophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SeisDiff-deno: A Diffusion-Based Denoising Framework for Tube Wave Attenuation in VSP Data
par: Zhu, Donglin, et autres
Publié: (2025)

Noise is All You Need: rethinking the value of noise on seismic denoising via diffusion models
par: Zhu, Donglin, et autres
Publié: (2025)

A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
par: Gao, Hang, et autres
Publié: (2024)

SeisT: A foundational deep learning model for earthquake monitoring tasks
par: Li, Sen, et autres
Publié: (2023)

Endo-exo framework for a unifying classification of episodic landslide movements
par: Lei, Qinghua, et autres
Publié: (2024)

A deep learning framework for marine acoustic and seismic monitoring with distributed acoustic sensing
par: Zhang, Chun, et autres
Publié: (2026)

A self-supervised learning framework for seismic low-frequency extrapolation
par: Cheng, Shijun, et autres
Publié: (2024)

A 3D joint interpretation of magnetotelluric and seismic tomographic models: the case of the volcanic island of Tenerife
par: García-Yeguas, A., et autres
Publié: (2024)

Advancing data-driven broadband seismic wavefield simulation with multi-conditional diffusion model
par: Bi, Zhengfa, et autres
Publié: (2025)

Resolving key issues of mature Mumbai offshore fields using ocean bottom node seismic interpretation
par: Uday Shanker Mishra, et autres
Publié: (2025)

Unsupervised learning inversion of seismic velocity models based on a multi‐scale strategy
par: Senlin Yang, et autres
Publié: (2025)

An approach of 2D convolutional neural network–based seismic data fault interpretation with linear annotation and pixel thinking
par: Bowen Deng, et autres
Publié: (2024)

Deep learning velocity filtering for seismic data
par: Li, Xiaobin, et autres
Publié: (2025)

A generative foundation model for an all-in-one seismic processing framework
par: Cheng, Shijun, et autres
Publié: (2025)

Free surfaces in turbulence -- A unified framework from water surfaces to elastic solids
par: Rota, Giulio Foggi, et autres
Publié: (2026)

On a planetary forcing of global seismicity
par: Dumont, Stéphanie, et autres
Publié: (2025)

SeisCoDE: 3D Seismic Interpretation Foundation Model with Contrastive Self-Distillation Learning
par: Archibong, Goodluck, et autres
Publié: (2025)

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
par: Li, Shiqian, et autres
Publié: (2024)

SeisLM: a Foundation Model for Seismic Waveforms
par: Liu, Tianlin, et autres
Publié: (2024)

A facies‐constrained geostatistical seismic inversion method based on multi‐scale sparse representation
par: Qin Su, et autres
Publié: (2024)

Generative modeling of seismic data using diffusion models and its application to multi-purpose posterior sampling for noisy inverse problems
par: Meng, Chuangji, et autres
Publié: (2025)

An anti-noise seismic inversion method based on diffusion model
par: Liu, Yingtian, et autres
Publié: (2024)

Phase variance as a seismic quality-control attribute
par: Rohatgi, Akshika, et autres
Publié: (2026)

Transformer for seismic image super-resolution
par: Dong, Shiqi, et autres
Publié: (2024)

Delayed dynamic triggering and enhanced high-frequency seismic radiation due to brittle rock damage in 3D multi-fault rupture simulations
par: Niu, Zihua, et autres
Publié: (2025)

SeisBind: Physics-Aware Tri-Modal Representation Binding for Seismic Data via Contrastive Learning
par: Liang, Chaohua, et autres
Publié: (2026)

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation
par: Cheng, Shijun, et autres
Publié: (2025)

Seis2Rock: A Data-Driven Approach to Direct Petrophysical Inversion of Pre-Stack Seismic Data
par: Corrales, Miguel, et autres
Publié: (2023)

Application of Marchenko-based isolation to a land S-wave seismic dataset
par: Shirmohammadi, Faezeh, et autres
Publié: (2023)

Changes in seismicity in a volcanically active region of the Izu Peninsula, Japan
par: Nanjo, K. Z., et autres
Publié: (2024)

Neural machine translation of seismic waves for petrophysical inversion
par: Teixeira, José Cunha, et autres
Publié: (2024)

Ensemble Deep Learning for enhanced seismic data reconstruction
par: Abedi, Mohammad Mahdi, et autres
Publié: (2024)

Discovery of physically interpretable wave equations
par: Cheng, Shijun, et autres
Publié: (2024)

Around-the-world seismic echo as a trigger for aftershocks and the main shock of an earthquake
par: Guglielmi, A. V., et autres
Publié: (2024)

Attenuation of marine seismic interference noise employing a customized U-Net
par: Sun, Jing, et autres
Publié: (2024)

Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis
par: Berman, Neri, et autres
Publié: (2024)

Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems
par: Gao, Hui, et autres
Publié: (2026)

PyOcto: A high-throughput seismic phase associator
par: Münchmeyer, Jannes
Publié: (2023)

Role of non-extensivity $q$-parameter in tectonic seismic forecasting
par: Sotolongo-Costa, Oscar, et autres
Publié: (2025)

Near-real-time design of experiments for seismic monitoring of volcanoes
par: Strutz, Dominik, et autres
Publié: (2024)