Buchumschlag

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Gahlot, Abhinav Prakash, Orozco, Rafael, Herrmann, Felix J.
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computational Physics Machine Learning Geophysics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring
von: Gahlot, Abhinav Prakash, et al.
Veröffentlicht: (2024)

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

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

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

Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
von: Deng, Zijun, et al.
Veröffentlicht: (2025)

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

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

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

Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
von: Teng, Wenchao, et al.
Veröffentlicht: (2024)

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

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
von: Feng, Zhao, et al.
Veröffentlicht: (2025)

Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model
von: Ghorbanfekr, Hossein, et al.
Veröffentlicht: (2024)

Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
von: Wang, Nanzhe, et al.
Veröffentlicht: (2024)

Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
von: Ju, Xin, et al.
Veröffentlicht: (2026)

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

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

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation
von: Cheng, Shijun, et al.
Veröffentlicht: (2025)

A finite element-based machine learning model for hydro-mechanical analysis of swelling behavior in clay-sulfate rocks
von: Taherdangkoo, Reza, et al.
Veröffentlicht: (2025)

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations
von: Abedi, Mohammad Mahdi, et al.
Veröffentlicht: (2025)

Toward Routing River Water in Land Surface Models with Recurrent Neural Networks
von: Lima, Mauricio, et al.
Veröffentlicht: (2024)

Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks
von: Agata, Ryoichiro, et al.
Veröffentlicht: (2026)

Scientific Machine Learning Seismology
von: Okazaki, Tomohisa
Veröffentlicht: (2024)

Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks
von: Chung, Jaehong, et al.
Veröffentlicht: (2023)

Microseismic source imaging using physics-informed neural networks with hard constraints
von: Huang, Xinquan, et al.
Veröffentlicht: (2023)

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
von: Zhu, Min, et al.
Veröffentlicht: (2023)

Geological and Well prior assisted full waveform inversion using conditional diffusion models
von: Wang, Fu, et al.
Veröffentlicht: (2024)

Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory
von: Nooraiepour, Mohammad, et al.
Veröffentlicht: (2026)

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

Full-waveform variational inference with full common-image gathers and diffusion network
von: Zeng, Yunlin, et al.
Veröffentlicht: (2025)

Neural Networks for Predicting Permeability Tensors of 2D Porous Media: Comparison of Convolution- and Transformer-based Architectures
von: Vargdal, Sigurd, et al.
Veröffentlicht: (2025)

Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks
von: Nerrise, Favour, et al.
Veröffentlicht: (2024)

Bayesian Event Categorization Matrix Approach for Explosion Monitoring
von: Koermer, Scott, et al.
Veröffentlicht: (2024)

Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting
von: Rice, Julian, et al.
Veröffentlicht: (2020)

Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions
von: Guo, Fu-Chen, et al.
Veröffentlicht: (2025)

Stochastic full waveform inversion with deep generative prior for uncertainty quantification
von: Xie, Yuke, et al.
Veröffentlicht: (2024)

Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
von: Grozavescu, Rares, et al.
Veröffentlicht: (2026)

DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models
von: Bassetti, Seth, et al.
Veröffentlicht: (2024)

Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
von: Strnad, Felix, et al.
Veröffentlicht: (2025)

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
von: Callahan, Jake, et al.
Veröffentlicht: (2024)