Biblio
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Author Title Type [ Year] Filters: Author is Felix J. Herrmann [Clear All Filters]
“Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling”, ML4SEISMIC Partners Meeting. 2024.
, “Physical Bayesian Inference for Two-Phase Flow Problems”, ML4SEISMIC Partners Meeting. 2024.
, “Probabilistic Joint Recovery Method for CO2 plume monitoring”, ML4SEISMIC Partners Meeting. 2024.
, “Reconstructing Permeability and Saturation in Reservoir Simulation Using Diffusion PDE Models”, ML4SEISMIC Partners Meeting. 2024.
, “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.
, “Time-lapse full-waveform permeability inversion: a feasibility study”, The Leading Edge, vol. 43, 2024.
, “Tucker Compression for Scalable Operator Learning in Large-Scale Parametric PDE Models”, 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.
, “3D seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling”, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 2023.
, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
, “CO2 reservoir monitoring through Bayesian data assimilation”, ML4SEISMIC Partners Meeting. 2023.
, “Coupled physics inversion for geological carbon storage monitoring”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection”, The Leading Edge, vol. 42, pp. 69-76, 2023.
, “Derisking geological storage with simulation-based seismic monitoring design and machine learning”, in Carbon, Capture, Utilization, and Storage, 2023.
, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
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