Cover Image

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gahlot, Abhinav Prakash, Orozco, Rafael, Yin, Ziyi, Herrmann, Felix J.
Format:	Preprint
Published:	2024
Subjects:	Geophysics Artificial Intelligence Machine Learning Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
by: Gahlot, Abhinav Prakash, et al.
Published: (2025)

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology
by: Gahlot, Abhinav Prakash, et al.
Published: (2025)

Sensitivity-aware rock physics enhanced digital shadow for underground-energy storage monitoring
by: Gahlot, Abhinav Prakash, et al.
Published: (2025)

A Digital Twin for Geological Carbon Storage with Controlled Injectivity
by: Gahlot, Abhinav Prakash, et al.
Published: (2024)

WISE: full-Waveform variational Inference via Subsurface Extensions
by: Yin, Ziyi, et al.
Published: (2023)

Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering
by: Bruer, Grant, et al.
Published: (2024)

Power-scaled Bayesian Inference with Score-based Generative Models
by: Erdinc, Huseyin Tuna, et al.
Published: (2025)

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
by: Yin, Ziyi, et al.
Published: (2024)

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows $-$ a case study in optimal monitor well placement for CO$_2$ sequestration
by: Orozco, Rafael, et al.
Published: (2024)

Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models
by: Zeng, Shiqin, et al.
Published: (2025)

SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
by: Erdinc, Huseyin Tuna, et al.
Published: (2026)

Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
by: Deng, Zijun, 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)

Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)

A reduced-order derivative-informed neural operator for subsurface fluid-flow
by: Park, Jeongjin, et al.
Published: (2025)

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

Towards physics-informed neural networks for landslide prediction
by: Dahal, Ashok, et al.
Published: (2024)

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

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

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

An Attention-based Framework with Multistation Information for Earthquake Early Warnings
by: Huang, Yu-Ming, et al.
Published: (2024)

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

Enhanced anomaly detection in well log data through the application of ensemble GANs
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)

Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation
by: Lee, Kevin
Published: (2024)

Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
by: Pan, Xiyu, et al.
Published: (2024)

An Attention-Based Algorithm for Gravity Adaptation Zone Calibration
by: Yu, Chen
Published: (2024)

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

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

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

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

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

Well log data generation and imputation using sequence-based generative adversarial networks
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)

Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
by: Ren, Pu, et al.
Published: (2024)

Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
by: Jung, Jaeheun, et al.
Published: (2024)

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

An Unsupervised Machine Learning Approach for Ground-Motion Spectra Clustering and Selection
by: Bond, R. Bailey, et al.
Published: (2022)

Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting
by: Huang, Xinquan, et al.
Published: (2024)

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

Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
by: Koeshidayatullah, Ardiansyah, et al.
Published: (2024)