Biblio
Export 100 results:
Author Title Type [ Year
] Filters: Author is Felix J. Herrmann and Keyword is Imaging [Clear All Filters]
, “SAGE – Subsurface foundational model with AI-driven Geostatical Extraction”, ML4SEISMIC Partners Meeting. 2024.
, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, ML4SEISMIC Partners Meeting. 2024.
, “Sensitivity of Horizontal shear waves on Geological Carbon Storage”, ML4SEISMIC Partners Meeting. 2024.
, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”, in International Meeting for Applied Geoscience and Energy, 2024.
, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, vol. 89, 2024.
, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Abstractions and algorithms for efficient seismic inversion on accelerators”, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 2022.
, “Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model”, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, ML4SEISMIC Partners Meeting. 2021.
, “An Event-Driven Approach to Serverless Seismic Imaging in the Cloud”, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.