Image de couverture de livre

Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Nanzhe, Durlofsky, Louis J.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Geophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
par: Teng, Wenchao, et autres
Publié: (2024)

Bayesian Full-waveform Monitoring of CO2 Storage with Fluid-flow Priors via Generative Modeling
par: Li, Haipeng, et autres
Publié: (2025)

Graph Network Surrogate Model for Subsurface Flow Optimization
par: Tang, Haoyu, et autres
Publié: (2023)

Surrogate Model for Geological CO2 Storage and Its Use in Hierarchical MCMC History Matching
par: Han, Yifu, et autres
Publié: (2023)

Groningen: Spatial Prediction of Rock Gas Saturation by Leveraging Selected and Augmented Well and Seismic Data with Classifier Ensembles
par: Ivlev, Dmitry
Publié: (2024)

Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
par: Gahlot, Abhinav Prakash, et autres
Publié: (2025)

SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
par: Wang, Shuang, et autres
Publié: (2025)

Seismic Traveltime Tomography with Label-free Learning
par: Wang, Feng, et autres
Publié: (2024)

SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
par: Wang, Shuang, et autres
Publié: (2024)

Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
par: Zerafa, Christopher
Publié: (2025)

Effective Data Selection for Seismic Interpretation through Disagreement
par: Benkert, Ryan, et autres
Publié: (2024)

RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
par: Efe, Onur, et autres
Publié: (2024)

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
par: Callahan, Jake, et autres
Publié: (2024)

Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
par: Zou, Caifeng, et autres
Publié: (2026)

Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
par: Wei, Xiaoli, et autres
Publié: (2023)

Latent diffusion models for parameterization and data assimilation of facies-based geomodels
par: Di Federico, Guido, et autres
Publié: (2024)

Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
par: Yuan, Zhengyi, et autres
Publié: (2026)

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
par: Lehmann, Fanny, et autres
Publié: (2023)

Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
par: Vashisth, Divakar, et autres
Publié: (2022)

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology
par: Gahlot, Abhinav Prakash, et autres
Publié: (2025)

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

A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning
par: Barros, Pablo M., et autres
Publié: (2024)

Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs
par: Sadeghkhani, Ali, et autres
Publié: (2026)

Seismic event classification with a lightweight Fourier Neural Operator model
par: Abdullin, Ayrat, et autres
Publié: (2025)

Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting
par: Huang, Xinquan, et autres
Publié: (2024)

3D latent diffusion models for parameterizing and history matching multiscenario facies systems
par: Di Federico, Guido, et autres
Publié: (2025)

Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
par: Qu, Luping, et autres
Publié: (2024)

Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
par: Wang, Hongtao, et autres
Publié: (2024)

Geological and Well prior assisted full waveform inversion using conditional diffusion models
par: Wang, Fu, et autres
Publié: (2024)

DeFault: Deep-learning-based Fault Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site
par: Wang, Hanchen, et autres
Publié: (2023)

Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
par: Sun, Jing, et autres
Publié: (2025)

3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
par: Jiang, Peifan, et autres
Publié: (2024)

Reconstructing Historical Climate Fields With Deep Learning
par: Bochow, Nils, et autres
Publié: (2023)

Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment
par: Igilik, Alim
Publié: (2026)

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning
par: Gou, Junyang, et autres
Publié: (2024)

Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors
par: Zhou, Hongyu, et autres
Publié: (2026)

Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano
par: McBrearty, Ian W., et autres
Publié: (2024)

Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
par: Choi, Yongjin, et autres
Publié: (2025)

Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
par: Chen, Ruihua, et autres
Publié: (2025)

Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks
par: Gholizadeh, Navid, et autres
Publié: (2024)